## Neural Networks for Signal Processing: Proceedings of the ... IEEE Workshop : ... in a Series of WorkshopsIEEE, 2001 - Neural networks (Computer science) |

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### Contents

A Maximum Entropy Approach for Collaborative Filtering | 3 |

A Hierarchical Densitybased Clustering Analysis of Auditory | 13 |

Discriminative Mining of Gene Microarray Data | 23 |

Copyright | |

33 other sections not shown

### Common terms and phrases

achieve activation adaptive algorithm analysis applied approach approximation assumed average block channel classifier cluster combination compared complex component compression computed condition consider consists constraints convergence corresponding criterion data set deconvolution defined denotes distribution effect entropy equalizer equations error estimate example experiments Figure filter frequency function Gaussian given hidden IEEE improvement increases independent initial input introduced iterations layer learning linear machine matrix maximum mean measure method minimize mixture neural network node noise nonlinear Note observed obtained optimal output parameters patterns performance phase possible prediction presented probability problem proposed recognition REFERENCES region represents respectively samples scheme scores segmentation selection separation sequence shown shows signal simulation solution space speaker statistical step structure Table task techniques threshold transformation units update values variance vector verification weights