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» Unsupervised feature selection using a neuro-fuzzy approach
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ICML
2009
IEEE
16 years 19 days 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
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 7 days ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
BMCBI
2008
160views more  BMCBI 2008»
14 years 12 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 4 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
FGR
2011
IEEE
206views Biometrics» more  FGR 2011»
14 years 3 months ago
A SSIM-based approach for finding similar facial expressions
— There are various scenarios where finding the most similar expression is the requirement rather than just classifying one, for example, facial expression transfer and facial e...
Abhinav Dhall, Akshay Asthana, Roland Goecke