638 search results - page 33 / 128 » A Training Method with Small Computation for Classification |
131
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
141
Voted
WACV
2002
IEEE
15 years 8 months ago
2002
IEEE
Automatic detection of image orientation is a very important operation in photo image management. In this paper, we propose an automated method based on the boosting algorithm to ...
240
Voted
ACL
2009
15 years 1 months ago
2009
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
141
Voted
HIS
2004
15 years 5 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
127
Voted
IJCAT
2007
15 years 3 months ago
2007
: This paper proposes the Enhanced Shrinking and Expanding Algorithm (ESEA) with a new categorization method. The ESEA overcomes anomalies in the original Shrinking and Expanding A...