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» Unsupervised Feature Selection Using Feature Similarity
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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
13 years 12 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
ECCV
2010
Springer
14 years 3 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
ICML
2009
IEEE
14 years 11 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
CVHI
2007
13 years 11 months ago
A System for Control of Hearing Instrument Selection and Adjustment based on Evaluation of Correct Transmission of Speech Elemen
: Modern digital hearing aids provide unprecedented means of compensating for hearing impairments. However, this comes at the price of adjusting complex processing parameters. To a...
Axel Plinge, Dieter Bauer
FUIN
2010
268views more  FUIN 2010»
13 years 5 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...