The contribution of structured activity and deliberate play to the development of expert perceptual and decision-making skill
- Authors: Berry, Jason , Cote, Jean
- Date: 2008
- Type: Text , Journal article
- Relation: Journal of Sport and Exercise Psychology Vol. 30, no. 6 (2009), p. 685-708
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- Description: The developmental histories of 32 players in the Australian Football League (AFL), independently classified as either expert or less skilled in their perceptual and decision-making skills, were collected through a structured interview process and their year-on-year involvement in structured and deliberate play activities retrospectively determined. Despite being drawn from the same elite level of competition, the expert decision-makers differed from the less skilled in having accrued, during their developing years, more hours of experience in structured activities of all types, in structured activities in invasion-type sports, in invasion-type deliberate play, and in invasion activities from sports other than Australian football. Accumulated hours invested in invasion-type activities differentiated between the groups, suggesting that it is the amount of invasion-type activity that is experienced and not necessarily intent (skill development or fun) or specificity that facilitates the development of perceptual and decision-making expertise in this team sport. © 2008 Human Kinetics, Inc.
- Description: C1
Part-time work of high school students and impact on educational outcomes
- Authors: Patton, Wendy , Smith, Erica
- Date: 2009
- Type: Text , Journal article
- Relation: Australian Journal of Guidance & Counselling Vol. 19, no. 2 (2009), p. 216-224
- Full Text: false
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- Description: While increasing numbers of young high school students engage in part-time work, there is no consensus about its impact on educational outcomes. Indeed, this field has had a dearth of research. This paper presents a review of recent research, primarily from Australia and the United States, although it is acknowledged that there are considerable contextual differences. Suggestions for school counsellors to harness students' experiences to assist in educational and career decision-making are presented. [ABSTRACT FROM AUTHOR] Copyright of Australian Journal of Guidance & Counselling is the property of Australian Academic Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Description: 2003007927
Simpson, his donkey and the rest of us : Public pedagogies of the value of belonging
- Authors: Tsolidis, Georgina
- Date: 2010
- Type: Text , Journal article
- Relation: Educational Philosophy and Theory Vol. 42, no. 4 (2010), p. 448-461
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- Description: At the heart of this paper is an exploration of belonging and how this is assumed to connect with a set of values represented as national. There is a particular interest in the relationship between these values and education. Because the significance of the learning that occurs through the public domain outside educational institutions such as schools is assumed, several cultural texts are examined in order to consider public pedagogies of Australianness including iconic displays such as those associated with the Sydney Olympics and the Melbourne Commonwealth Games. Media reports surrounding the Cronulla riots are also examined as a means of understanding the values associated with non-belonging. These cultural texts are considered along side curriculum and policy concerned with values education. Through an exploration of the imaginary, the argument is made that in relation to ethnic difference, an hegemonic narrative has remained at the core of how Australianness is represented, despite multicultural incursions and fears about the cultural dissipation associated with globalisation and so-called postmodern fragmentation. © 2010 The Author. Journal compilation © 2010 Philosophy of Education Society of Australasia.
Developmental influences on the acquisition of tactical decision-making expertise
- Authors: Berry, Jason , Abernethy, Bruce
- Date: 2009
- Type: Text , Journal article
- Relation: International Journal of Sport Psychology Vol. 40, no. 4, Supplement 1 (2009), p. 525-545
- Full Text: false
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- Description: The principal purpose of this study was to identify those developmental factors most predictive of adult perceptual and decision-making skill. Qualitative data on developmental experiences and social support were collected from semi-structured interviews of 29 elite Australian Football League (AFL) players, 16 of whom were independently classified by a panel of coaches as expert decision-makers and 13 as less-skilled decision-makers. While high levels of parental support and a fierce desire to win, established from an early age, were evident for all players in the elite sample, the expert decision-makers were more likely to have bad (i) extensive experience of invasion games during their development, (ii) early experience of playing against adults or older children, (iii) playing experience in related sports (especially basketball), and (iv) their father as a coach at some stage during their junior years. The developmental characteristics observed for the expert decision-mak! ers extend quantitative findings on the practice hours of The same cohort (Berry et al., 2008) and indicate that observable differences in decision-making skills amongst adult players, even at an elite level, may be directly linked to each players particular developmental and practice experiences.
Are sparse-coding simple cell receptive field models physiologically plausible?
- Authors: Watters, Paul
- Date: 2006
- Type: Text , Journal article
- Relation: Journal of Integrative Neuroscience Vol. 5, no. 3 (2006), p. 333-353
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- Description: Olshausen and Field (1996) developed a simple cell receptive field model for natural scene processing in V1, based on unsupervised learning and non-orthogonal basis function optimization of an overcomplete representation of visual space. The model was originally tested with an ensemble of whitened natural scenes, simulating pre-cortical filtering in the retinal ganglia and lateral geniculate nucleus, and the basis functions qualitatively resembled the orientation-specific responses of V1 simple cells in the spatial domain. In this study, the quantitative tuning responses of the basis functions in the spectral domain are estimated using a Gaussian model, to determine their goodness-of-fit to the known bandwidths of simple cells in primate V1. Five simulation experiments which examined key features of the model are reported: changing the size of the basis functions; using a complete versus over-complete representation; changing the sparseness factor; using a variable learning rate; and mapping the basis functions with a whitening spatial function. The key finding of this study is that across all image themes, basis function sizes, number of basis functions, sparseness factors and learning rates, the spatial-frequency tuning did not closely resemble that of primate area 17 — the model results more closely resembled the unclassified cat neurones of area 19 with a single exception, and not area 17 as predicted. [ABSTRACT FROM AUTHOR]
- Description: 2003007801
Estimating distributed coding efficiently in orthogonal models of facial processing
- Authors: Watters, Paul
- Date: 2003
- Type: Text , Journal article
- Relation: Journal of Integrative Neuroscience Vol. 2, no. 2 (2003), p. 249-262
- Full Text: false
- Reviewed:
- Description: Orthogonal facial processing models attempt to mimic the local decomposition performed in the visual cortex by simple cell receptive fields. The purpose of this study was to investigate how the neurophysiological validity of orthogonal models of facial processing could be improved by implementing a "whitening" filter, based on current knowledge of similar filtering that occurs in the retina. By using a metric known as the "distributed coding efficiency index" (DCE), this study demonstrates that an orthogonal facial processing model significantly increased coding efficiency when a low-pass, zero-phase whitening filter was applied. The extent to which orthogonal decomposition of filtered data represents a realistic V1 model is discussed. [ABSTRACT FROM AUTHOR]
- Description: 2003007807
A Root-finding algorithm for list decoding of Reed-Muller codes
- Authors: Wu, Xinwen , Kuijper, Margreta , Udaya, Parampalli
- Date: 2006
- Type: Text , Journal article
- Relation: IEEE transactions on information theory Vol. 51, no. 3 (2006), p. 1190-1196
- Full Text: false
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- Description: Let Fq[X1,...,Xm] denote the set of polynomials over Fq in m variables, and Fq[X1,...,Xm]≤u denote the subset that consists of the polynomials of total degree at most u. Let H(T) be a nontrivial polynomial in T with coefficients in Fq[X1,...,Xm]. A crucial step in interpolation-based list decoding of q-ary Reed-Muller (RM) codes is finding the roots of H(T) in Fq[X1,...,Xm]≤u. In this correspondence, we present an efficient root-finding algorithm, which finds all the roots of H(T) in Fq[X1,...,Xm]≤u. The algorithm can be used to speed up the list decoding of RM codes.
- Description: C1
- Description: 2003005726
How preschoolers comprehend the emotional dimension in narrative texts
- Authors: Marmolejo-Ramos, Fernando , Jimenez Heredia, A. T.
- Date: 2006
- Type: Text , Conference paper
- Relation: Australian Journal of Psychology Vol. 58, no. Suppl 1 (2006), p. 9-9
- Full Text: false
- Reviewed:
- Description: C1
A hierarchical method for finding optimal architecture and weights using evolutionary least square based learning
- Authors: Ghosh, Ranadhir , Verma, Brijesh
- Date: 2003
- Type: Text , Journal article
- Relation: International Journal of Neural Systems Vol. 13, no. 1 (2003), p. 13-24
- Full Text: false
- Reviewed:
- Description: In this paper, we present a novel approach of implementing a combination methodology to find appropriate neural network architecture and weights using an evolutionary least square based algorithm (GALS).1 This paper focuses on aspects such as the heuristics of updating weights using an evolutionary least square based algorithm, finding the number of hidden neurons for a two layer feed forward neural network, the stopping criterion for the algorithm and finally some comparisons of the results with other existing methods for searching optimal or near optimal solution in the multidimensional complex search space comprising the architecture and the weight variables. We explain how the weight updating algorithm using evolutionary least square based approach can be combined with the growing architecture model to find the optimum number of hidden neurons. We also discuss the issues of finding a probabilistic solution space as a starting point for the least square method and address the problems involving fitness breaking. We apply the proposed approach to XOR problem, 10 bit odd parity problem and many real-world benchmark data sets such as handwriting data set from CEDAR, breast cancer and heart disease data sets from UCI ML repository. The comparative results based on classification accuracy and the time complexity are discussed.
- Description: 2003004100
An L-2-Boosting Algorithm for Estimation of a Regression Function
- Authors: Bagirov, Adil , Clausen, Conny , Kohler, Michael
- Date: 2010
- Type: Text , Journal article
- Relation: IEEE Transactions on Information Theory Vol. 56, no. 3 (2010), p. 1417-1429
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- Description: An L-2-boosting algorithm for estimation of a regression function from random design is presented, which consists of fitting repeatedly a function from a fixed nonlinear function space to the residuals of the data by least squares and by defining the estimate as a linear combination of the resulting least squares estimates. Splitting of the sample is used to decide after how many iterations of smoothing of the residuals the algorithm terminates. The rate of convergence of the algorithm is analyzed in case of an unbounded response variable. The method is used to fit a sum of maxima of minima of linear functions to a given data set, and is compared with other nonparametric regression estimates using simulated data.
Psychosocial adjustment in newly diagnosed prostate cancer
- Authors: Love, Anthony , Scealy, Marita , Bloch, Sidney , Duchesne, Gillian , Couper, Jeremy , MacVean, Michelle , Costello, Anthony , Kissane, David
- Date: 2008
- Type: Text , Journal article
- Relation: Australian and New Zealand Journal of Psychiatry Vol. 42, no. 5 (2008), p. 423-429
- Full Text: false
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- Description: Objective: To examine the psychological and social adjustment of men with early or advanced stage prostate cancer and to compare them with a matched group of cancer-free community volunteers. Methods: A longitudinal observational study in which 367 men recently diagnosed with early (n =211) or advanced stage (n = 156), prostate cancer were compared to 169 cancer-free men from the community, of similar age and residential area, using self-report measures of psychosocial adjustment. Results: On the mental health subscales of the Short-Form 36-item Health Survey, men with advanced disease had lower vitality and social functioning than the other two groups, and lower mental health scores than the comparison group. Both patient groups had lower role-emotional scores than the comparison group. With regard to the Brief Symptom Inventory, the advanced disease group had higher somatization scores, and lower interpersonal sensitivity and paranoid ideation scores than the early stage group and the community comparison group. In terms of psychiatric morbidity, there were higher rates of anxiety disorders but not depressive disorders in both patient groups although overall diagnosis rates were low. No differences were found in terms of couple or family functioning. Conclusions: There is impairment in psychosocial function in men with prostate cancer, particularly those with advanced disease, but no increase in the rate of formal psychiatric disorder or adverse effects on the couples and families. This suggests directions for psychosocial interventions with these patient groups
Fitting a bionic eye to the body: how haptics can help
- Authors: Van Doorn, George , Richardson, Barry , Wuillemin, Dianne
- Date: 2013
- Type: Text , Journal article
- Relation: International Journal of Autonomous and Adaptive Communications Systems Vol. 6, no. 4 (2013), p. 377-390
- Full Text: false
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- Description: The function of any visual prosthetic will be to generate patterned stimulation of the visual cortex arising from either direct stimulation (e.g. using cortical implants) or more peripheral inputs (e.g. an artificial retina). Direct cortical stimulation may result in patterns containing relatively few elements (say 10-100) while an artificial retina may deliver more complex patterns. We propose that regardless of the site of intervention, a tactile copy of the input, delivered to the skin at the same time as it is sent to the visual cortex, will offer significant advantages, especially during early stages of testing and development in which the user must 'make sense' of the novel input. The advantages of such a display include: (1) exploitation of multisensory processes such as cross-calibration, learning to discriminate sub-threshold stimuli and perceptual redundancy, (2) a means of measuring strengths and weaknesses of the prosthetic's visual input and evaluation of improvements and (3) a way of quickly adapting the congenitally- or late-blind user to the prosthetic.
Evaluating authorship distance methods using the positive Silhouette coefficient
- Authors: Layton, Robert , Watters, Paul , Dazeley, Richard
- Date: 2013
- Type: Text , Journal article
- Relation: Natural Language Engineering Vol. 19, no. 4 (2013), p. 517-535
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- Reviewed:
- Description: Unsupervised Authorship Analysis (UAA) aims to cluster documents by authorship without knowing the authorship of any documents. An important factor in UAA is the method for calculating the distance between documents. This choice of the authorship distance method is considered more critical to the end result than the choice of cluster analysis algorithm. One method for measuring the correlation between a distance metric and a labelling (such as class values or clusters) is the Silhouette Coefficient (SC). The SC can be leveraged by measuring the correlation between the authorship distance method and the true authorship, evaluating the quality of the distance method. However, we show that the SC can be severely affected by outliers. To address this issue, we introduce the Positive Silhouette Coefficient, given as the proportion of instances with a positive SC value. This metric is not easily altered by outliers and produces a more robust metric. A large number of authorship distance methods are then compared using the PSC, and the findings are presented. This research provides an insight into the efficacy of methods for UAA and presents a framework for testing authorship distance methods.
- Description: C1
Diatom-based models for inferring past water chemistry in western Ugandan crater lakes
- Authors: Mills, Keely , Ryves, David
- Date: 2012
- Type: Text , Journal article
- Relation: Journal of Paleolimnology Vol. 48, no. 2 (2012), p. 383-399
- Full Text: false
- Reviewed:
- Description: Diatom surface sediment samples and corresponding water chemistry were collected from 56 lakes across a natural conductivity gradient in western Uganda (reflecting a regional climatic gradient of effective moisture) to explore factors controlling diatom distribution. Here we develop a regional training set from these crater lakes to test the hypothesis that this approach, by providing more appropriate and closer analogues, can improve the accuracy of palaeo-conductivity reconstructions, and so environmental inferences in these lake systems compared to larger training sets. We compare this output to models based on larger, but geographically and limnologically diverse training sets, using the European Diatom Database Initiative (EDDI) database. The relationships between water chemistry and diatom distributions were explored using canonical correspondence analysis (CCA) and partial CCA. Variance partitioning indicated that conductivity accounted for a significant and independent portion of this variation. A transfer function was developed for conductivity (r jack 2 = 0.74). Prediction errors, estimated using jack-knifing, are low for the conductivity model (0.256 log 10 units). The resulting model was applied to a sedimentary sequence from Lake Kasenda, western Uganda. Comparison of conductivity reconstructions using the Ugandan crater lake training set and the East Africa training set (EDDI) highlighted a number of differences in the optima of key diatom taxa, which lead to differences in reconstructed values and could lead to misinterpretation of the fossil record. This study highlights issues of how far transfer functions based on continental-scale lake datasets such as the EDDI pan-African models should be used and the benefits that may be obtained from regional training sets. © 2012 Springer Science+Business Media B.V.
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction
- Authors: Bidargaddi, Niranjan , Chetty, Madhu , Kamruzzaman, Joarder
- Date: 2009
- Type: Text , Journal article
- Relation: Neurocomputing Vol. 72, no. 3943-3950 (2009), p.3943-3950
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- Description: Predicting the secondary structure of proteins from a primary sequence alone has been variously approached from either a classification or a generative model perspective. The most prominent classification methods have used neural networks, which involves mappings from a local window of residues in the sequence to the structural state of the central residue in the window, thus capturing the local interactions effectively. However, they fail to capture distant interactions among residues. The generative models based on Bayesian segmentation capture sequence structure relationships using generalized hidden Markov models with explicit state duration. They capture non-local interactions through a joint sequence-structure probability distribution based on structural segments. In this paper, we investigate a combined architecture of Bayesian segmentation at the first stage and neural network at the second stage which captures both local and non-local correlation, to increase the single sequence prediction accuracy. The combined architecture is further enhanced by using neural network optimization and ensemble techniques.
Empirical evaluation methods for multiobjective reinforcement learning algorithms
- Authors: Vamplew, Peter , Dazeley, Richard , Berry, Adam , Issabekov, Rustam , Dekker, Evan
- Date: 2011
- Type: Text , Journal article
- Relation: Machine Learning Vol. 84, no. 1-2 (2011), p. 51-80
- Full Text: false
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- Description: While a number of algorithms for multiobjective reinforcement learning have been proposed, and a small number of applications developed, there has been very little rigorous empirical evaluation of the performance and limitations of these algorithms. This paper proposes standard methods for such empirical evaluation, to act as a foundation for future comparative studies. Two classes of multiobjective reinforcement learning algorithms are identified, and appropriate evaluation metrics and methodologies are proposed for each class. A suite of benchmark problems with known Pareto fronts is described, and future extensions and implementations of this benchmark suite are discussed. The utility of the proposed evaluation methods are demonstrated via an empirical comparison of two example learning algorithms. © 2010 The Author(s).
Efficient nonlinear classification via low-rank regularised least squares
- Authors: Fu, Zhouyu , Lu, Guojun , Ting, Kaiming , Zhang, Dengsheng
- Date: 2013
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 22, no. 7-8(2013), p. 1279-1289
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- Description: We revisit the classical technique of regularised least squares (RLS) for nonlinear classification in this paper. Specifically, we focus on a low-rank formulation of the RLS, which has linear time complexity in the size of data set only, independent of both the number of classes and number of features. This makes low-rank RLS particularly suitable for problems with large data and moderate feature dimensions. Moreover, we have proposed a general theorem for obtaining the closed-form estimation of prediction values on a holdout validation set given the low-rank RLS classifier trained on the whole training data. It is thus possible to obtain an error estimate for each parameter setting without retraining and greatly accelerate the process of cross-validation for parameter selection. Experimental results on several large-scale benchmark data sets have shown that low-rank RLS achieves comparable classification performance while being much more efficient than standard kernel SVM for nonlinear classification. The improvement in efficiency is more evident for data sets with higher dimensions.
Feature-subspace aggregating: ensembles for stable and unstable learners
- Authors: Ting, Kaiming , Wells, Jonathan , Tan, Swee , Teng, Shyh , Webb, Geoffrey
- Date: 2011
- Type: Text , Journal article
- Relation: Machine Learning Vol. 82, no. 3 (2011), p. 375-397
- Full Text: false
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- Description: This paper introduces a new ensemble approach, Feature-Subspace Aggregating (Feating), which builds local models instead of global models. Feating is a generic ensemble approach that can enhance the predictive performance of both stable and unstable learners. In contrast, most existing ensemble approaches can improve the predictive performance of unstable learners only. Our analysis shows that the new approach reduces the execution time to generate a model in an ensemble through an increased level of localisation in Feating. Our empirical evaluation shows that Feating performs significantly better than Boosting, Random Subspace and Bagging in terms of predictive accuracy, when a stable learner SVM is used as the base learner. The speed up achieved by Feating makes feasible SVM ensembles that would otherwise be infeasible for large data sets. When SVM is the preferred base learner, we show that Feating SVM performs better than Boosting decision trees and Random Forests. We further demonstrate that Feating also substantially reduces the error of another stable learner, k-nearest neighbour, and an unstable learner, decision tree.
Activation of self-focus and self-presentation traits under private, mixed, and public pressure
- Authors: Geukes, Katharina , Mesagno, Christopher , Hanrahan, Stephanie , Kellmann, Michael
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of Sport and Exercise Psychology Vol. 35, no. 1 (2013), p. 50-59
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- Description: Trait activation theorists suggest that situational demands activate traits in (pressure) situations. In a comparison of situational demands of private (monetary incentive, cover story), mixed (monetary incentive, small audience), and public (large audience, video taping) high-pressure situations, we hypothesized that situational demands of private and mixed high-pressure conditions would activate self-focus traits and those of a public high-pressure condition would activate self-presentation traits. Female handball players (N = 120) completed personality questionnaires and then performed a throwing task in a low-pressure condition and one of three high-pressure conditions (n = 40). Increased anxiety levels from low to high pressure indicated successful pressure manipulations. A self-focus trait negatively predicted performance in private and mixed high-pressure conditions, and self-presentation traits positively predicted performance in the public high-pressure condition. Thus, pressure situations differed in their trait-activating situational demands. Experimental research investigating the trait-performance relationship should therefore use simulations of real competitions over laboratory-based scenarios. © 2013 Human Kinetics, Inc.
- Description: 2003010828
Agreement of adolescent ratings with mother ratings and teacher ratings of ADHD symptom groups: A correlated trait-correlated method minus one analysis
- Authors: Gomez, Rapson , Gomez, Andre
- Date: 2015
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 82, no. (2015), p. 131-135
- Full Text: false
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- Description: This study examined the level of agreement of adolescent ratings with mother ratings, and adolescent ratings with teacher ratings of the inattention (IA) and hyperactivity/impulsivity (HI) symptom groups of ADHD. A total of 214 adolescents provided self-ratings of IA and HI, and their IA and HI were also rated by their mothers and teachers. The correlated trait-correlated method minus one model was applied, with adolescent ratings as the reference method, and the other two ratings as the non-reference methods. The findings indicated no additional variance in adolescent ratings for IA and HI that could not be accounted by mother ratings of IA and HI, respectively. In contrast, there was additional variance in adolescent ratings for IA and HI that could was not accounted by teacher ratings of IA and HI, respectively. The findings suggest that when diagnosing ADHD in adolescents, their reports of their own ADHD behaviors are not needed when mother reports of such behaviors are used. © 2015.