Sciweavers

1438 search results - page 21 / 288
» Feature Selection and Effective Classifiers
Sort
View
96
Voted
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
14 years 12 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
15 years 1 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»
14 years 11 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»
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...
DMIN
2007
203views Data Mining» more  DMIN 2007»
15 years 1 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, ...