1707 search results - page 118 / 342 » A Boosting Algorithm for Regression |
124
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
115
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NPL
1998
15 years 3 months ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
158
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PAMI
2010
14 years 11 months ago
2010
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
122
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IJCAI
1997
15 years 5 months ago
1997
Propositional STRIPS planning problems can be viewed as finite state automata (FSAs) represented in a factored form. Automaton minimization is a well-known technique for reducing ...
131
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...