Sciweavers

877 search results - page 49 / 176
» Selection of Subsets of Ordered Features in Machine Learning
Sort
View
116
Voted
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 8 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
111
Voted
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 3 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
145
Voted
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 7 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
137
Voted
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 7 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
131
Voted
MLDM
2005
Springer
15 years 9 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz