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BMEI
2009
IEEE
15 years 5 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
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...
Lin Wang, Jinwen Ma
GRC
2008
IEEE
15 years 4 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
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...
Shuang An, Qinghua Hu, Daren Yu
121
Voted
IJON
2006
73views more  IJON 2006»
15 years 3 months ago
Selective attention implemented with dynamic synapses and integrate-and-fire neurons
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...
Chiara Bartolozzi, Giacomo Indiveri
107
Voted
JCNS
2006
69views more  JCNS 2006»
15 years 3 months ago
Effects of stimulus transformations on estimates of sensory neuron selectivity
Stimulus selectivity of sensory systems is often characterized by analyzing responseconditioned stimulus ensembles. However, in many cases these response-triggered stimulus sets h...
Alexander G. Dimitrov, Tomás Gedeon
125
Voted
CSDA
2004
81views more  CSDA 2004»
15 years 3 months ago
A note on split selection bias in classification trees
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...
Y.-S. Shih