Rule-based systems and pattern recognition
Pattern Recognition Letters
C4.5: programs for machine learning
C4.5: programs for machine learning
Combination of Multiple Classifiers Using Local Accuracy Estimates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Application of the confidence measure in knowledge acquisition process
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Active Classification System for Context Representation and Acquisition
Proceedings of the 2007 conference on Advances in Ambient Intelligence
CDL: an Integrated Framework for Context Specification and Recognition
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Modification of nested hyperrectangle exemplar as a proposition of information fusion method
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
A context aware sound classifier applied to prawn feed monitoring and energy disaggregation
Knowledge-Based Systems
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This paper deals with the concept of information fusion and its application to the contextual pattern recognition task. The concept of the recognition based on the probabilistic model are presented. The machine learning algorithm based on statistical tests for the recognition of controlled Markov chains is shown. Idea of information unification via transforming the expert rules into the learning set is derived. Some experimental results of obtained methods are shown and proposed concepts are applied to the real medical decision problem.