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Mammadov, Musa

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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
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Date: 2016
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/102050
Description: The paper presents a generalization of a known density theorem of Arrow, Barankin, and Blackwell for properly efficient points defined as support points of sets with respect to monotonically increasin... More
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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
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Date: 2014
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/76323
Description: In this paper, a new supporting function for characterizing non-convex sets is introduced. The notions of σ-supporting cone and maximal conic gap are proposed and some properties are investigated. By... More
Reviewed: Reviewed
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
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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
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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
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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
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Date: 2013
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/71255
Description: While any input may be contributing, imprecise specification of class of data subdivided into classes identifies as rather common a source of noise. The misrepresentation may be characteristic of the ... More
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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
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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
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Date: 2013
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/46027
Description: C1
Reviewed: Reviewed
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
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Date: 2012
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/73373
Description: Abstract - Computational methods have become an important tool in the analysis of medical data sets. In this paper, we apply three optimisation-based data mining methods to the following data sets: (i... More
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Date: 2012
Type: Text
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/37224
Description: A class of scalar nonlinear difference equations with delay is considered. Sufficient conditions for the global asymptotic stability of a unique equilibrium are given. Applications in economics and ot... More
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