486 search results - page 47 / 98 » Boosting and Hard-Core Sets |
106
Voted
ESANN
2006
15 years 1 months ago
2006
Abstract. Ensemble methods allow to improve the accuracy of classification methods. This work considers the application of one of these methods, named Rotation-based, when the clas...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
119
Voted
MCS
2007
Springer
15 years 6 months ago
2007
Springer
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
123
Voted
AUSDM
2006
Springer
15 years 4 months ago
2006
Springer
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
111
click to vote
CPAIOR
2006
Springer
15 years 4 months ago
2006
Springer
Recently, Linear Programming (LP)-based relaxations have been shown promising in boosting the performance of exact MAX-SAT solvers. We compare Semidefinite Programming (SDP) based ...