1860 search results - page 49 / 372 » Boosting Methods for Regression |
DAWAK
2003
Springer
14 years 3 months ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
BMCBI
2005
13 years 9 months ago
2005
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
HIS
2004
13 years 11 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...
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper we propose a new nonparametric approach to identification of linear time invariant systems using subspace methods. The nonparametric paradigm to prediction of station...