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FUIN
2010
268views more  FUIN 2010»
14 years 10 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
ECML
2006
Springer
15 years 7 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
MLMI
2005
Springer
15 years 9 months ago
Robust Speaker Segmentation for Meetings: The ICSI-SRI Spring 2005 Diarization System
Xavier Anguera, Chuck Wooters, Barbara Peskin, Mat...

Book
534views
17 years 2 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
CIBCB
2006
IEEE
15 years 10 months ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel