Abstract: The paper deals with the interactive educational tools, developed for the area of Bayesian decision-making and based on PDFLATEX and MATLAB R©. The extensive educational system enables to familiarize with the tasks of Bayesian decision-making, related to the probability mixture models, and to learn the theoretical and algorithmic aspects of their solution. The system is intended for the postgraduate students and researchers, beginning the activity in this area. The paper summarizes the principles, used in design of the system, describes the teaching session and demonstrates the exploitation of the system with the help of several examples, related to different Bayesian decision-making tasks. Key–Words: Educational system, Bayesian ...
A significant class of decision making problems consists of choosing actions, to be carried out simu...
This paper describes the ideas and problems of the Edukalibre e-learning project, in which the autho...
We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-co...
Abstract: The paper describes the extensive educational system for the field of Bayesian decision-ma...
Abstract: The paper describes an approach to the formulation of the decision-making tasks via specif...
This diploma thesis is about Bayesian approach in managerial decision making process. The goal is no...
The paper deals with the ideas and problems of the Edukalibre project, in which the author takes par...
Bayesian Reasoning is both a fundamental idea of probability and a key model in applied sciences for...
The purpose of this paper is to consider some applications of Bayesian decision theory to intelligen...
Written by one of the world's leading groups in the area of Bayesian identification, control, and de...
Bayesian decision-making is a fundamental element of most contemporary marketing research texts. The...
Bayesian decision analysis supports principled decision making in complex domains. This textbook tak...
The current status of Bayesian software is reviewed. The motivation for the development of Bayesian ...
This thesis proposes, demonstrates, and evaluates, the concept of the normative Intelligent Tutorin...
Computer Science has suffered a quick development during the last century and the evolution of hardw...
A significant class of decision making problems consists of choosing actions, to be carried out simu...
This paper describes the ideas and problems of the Edukalibre e-learning project, in which the autho...
We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-co...
Abstract: The paper describes the extensive educational system for the field of Bayesian decision-ma...
Abstract: The paper describes an approach to the formulation of the decision-making tasks via specif...
This diploma thesis is about Bayesian approach in managerial decision making process. The goal is no...
The paper deals with the ideas and problems of the Edukalibre project, in which the author takes par...
Bayesian Reasoning is both a fundamental idea of probability and a key model in applied sciences for...
The purpose of this paper is to consider some applications of Bayesian decision theory to intelligen...
Written by one of the world's leading groups in the area of Bayesian identification, control, and de...
Bayesian decision-making is a fundamental element of most contemporary marketing research texts. The...
Bayesian decision analysis supports principled decision making in complex domains. This textbook tak...
The current status of Bayesian software is reviewed. The motivation for the development of Bayesian ...
This thesis proposes, demonstrates, and evaluates, the concept of the normative Intelligent Tutorin...
Computer Science has suffered a quick development during the last century and the evolution of hardw...
A significant class of decision making problems consists of choosing actions, to be carried out simu...
This paper describes the ideas and problems of the Edukalibre e-learning project, in which the autho...
We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-co...
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