National Repository of Grey Literature 23 records found  beginprevious21 - 23  jump to record: Search took 0.03 seconds. 
Má smysl vyvíjet nové metody výběru příznaků?
Somol, Petr ; Novovičová, Jana
One of hot topics discussed recently in relation to pattern recognition techniques is the question of actual performance of modern feature selection methods. Feature selection has been a highly active area of research in recent years due to its potential to improve both the performance and economy of automatic decision systems in various applicational fields, with medical diagnosis being among the most prominent. Feature selection may also improve the performance of classifiers learned from limited data, or contribute to model interpretability. The number of available methods and methodologies has grown rapidly while promising important improvements. Yet recently many authors put this development in question, claiming that simpler older tools show to be actually better than complex modern ones -- which, despite promises, are claimed to actually fail in real-world applications.
Výběr nejinformativnějších proměnných ve statistickém rozpoznávání
Pudil, Pavel ; Somol, Petr ; Haindl, Michal
The research report gives an overview of feature selection techniques in statistical pattern recognition with particular emphasis to methods developed by the researchers participating in MATEO Centre of Mechatronics project. Besides discussing the advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the optimal algorithms, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modelling and feature space selection method. Some related issues are illustrated on real data by means of the Feature Selection Toolbox software.

National Repository of Grey Literature : 23 records found   beginprevious21 - 23  jump to record:
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