Sciweavers

1438 search results - page 21 / 288
» Feature Selection and Effective Classifiers
Sort
View
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 8 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
UAI
2004
13 years 10 months ago
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in
Suppose that the only available information in a multi-class problem are expert estimates of the conditional probabilities of occurrence for a set of binary features. The aim is t...
Ludmila I. Kuncheva, Christopher J. Whitaker, Pete...
IMDS
2006
33views more  IMDS 2006»
13 years 8 months ago
Operations strategy and flexibility: modeling with Bayesian classifiers
Purpose
María M. Abad-Grau, Daniel Arias-Aranda
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
14 years 26 days 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...
DMIN
2007
203views Data Mining» more  DMIN 2007»
13 years 10 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...