The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Selective attention is a process widely used by biological sensory systems to overcome the problem of limited parallel processing capacity: salient subregions of the input stimuli...
Stimulus selectivity of sensory systems is often characterized by analyzing responseconditioned stimulus ensembles. However, in many cases these response-triggered stimulus sets h...
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...