1126 search results - page 7 / 226 » Strong Feature Sets from Small Samples |
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
IJIT
2004
13 years 9 months ago
2004
A genetic algorithm (GA) based feature subset selection algorithm is proposed in which the correlation structure of the features is exploited. The subset of features is validated a...
BIOINFORMATICS
2005
13 years 7 months ago
2005
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
MICCAI
2000
Springer
13 years 11 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
IEE
2002
13 years 7 months ago
2002
This paper discusses a potential methodological problem with empirical studies assessing project effort prediction systems. Frequently a hold-out strategy is deployed so that the ...