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FUIN
2010
268views more  FUIN 2010»
14 years 6 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 3 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 5 months ago
Robust Speaker Segmentation for Meetings: The ICSI-SRI Spring 2005 Diarization System
Xavier Anguera, Chuck Wooters, Barbara Peskin, Mat...
168
Voted

Book
534views
16 years 10 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 5 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