GlobalView

Fulltext | Mammadov, Musa
Your search produced these results.

Showing items 1 - 15 of 34.

Add to Quick Collection   All 34 Results

Sort:
 Add All Items to Quick Collection
Date: 2017
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/155253
Description: In this paper the relation between the weak subdifferentials and the directional derivatives, as well as optimality conditions for nonconvex optimization problems in reflexive Banach spaces, are inves... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2015
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/100787
Description: This paper introduces a new optimal control model to describe and control the dynamics of infectious diseases. In the present model, the average time to isolation (i.e. hospitalization) of infectious ... More
Full Text: Full Text
Image Thumbnail
Date: 2014
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/89644
Description: Bayesian Networks are increasingly popular methods of modeling uncertainty in artificial intelligence and machine learning. A Bayesian Network consists of a directed acyclic graph in which each node r... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Authors: Mammadov, Musa
Date: 2014
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/69421
Description: An optimal control problem for systems described by a special class of nonlinear differential equations with time delay is considered. The cost functional adopted could be considered as an analogue of... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2013
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/42487
Description: In this article, we first propose a method to obtain an approximate feasible point for general constrained global optimization problems (with both inequality and equality constraints). Then we propose... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2013
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/59808
Description: The Naive Bayes classifier is a popular classification technique for data mining and machine learning. It has been shown to be very effective on a variety of data classification problems. However, the... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2013
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/60698
Description: New algorithms for solving unconstrained optimization problems are presented based on the idea of combining two types of descent directions: the direction of anti-gradient and either the Newton or qua... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2013
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/37128
Description: Naive Bayes is among the simplest probabilistic classifiers. It often performs surprisingly well in many real world applications, despite the strong assumption that all features are conditionally inde... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2012
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/57681
Description: In this paper, we propose a new method for solving large-scale ill-posed problems. This method is based on the Karush-Kuhn-Tucker conditions, Fisher-Burmeister function and the discrepancy principle. ... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2012
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/55072
Description: Solving systems of nonlinear equations is a relatively complicated problem for which a number of different approaches have been presented. In this paper, a new algorithm is proposed for the solutions ... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2012
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/58814
Description: Bayesian Networks have deserved extensive attentions in data mining due to their efficiencies, and reasonable predictive accuracy. A Bayesian Network is a directed acyclic graph in which each node rep... More
Full Text: Full Text
Image Thumbnail
Date: 2012
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34453
Description: The least-squares method is a standard approach used in data fitting that has important applications in many areas in science and engineering including many finance problems. In the case when the prob... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2011
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/38117
Description: An essentially nonlinear dierential equation with delay serving as a mathematical model of several applied problems is considered. Sufficient conditions for the global asymptotic stability of a unique... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2011
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/37032
Description: In this paper we study optimality conditions for optimization problems described by a special class of directionally differentiable functions. The well-known necessary and sufficient optimality condit... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2010
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34892
Description: In text categorization, different supervised term weighting methods have been applied to improve classification performance by weighting terms with respect to different categories, for example, Inform... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail