1707 search results - page 66 / 342 » A Boosting Algorithm for Regression |
131
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
117
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EMNLP
2009
15 years 10 days ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
130
Voted
DIS
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
86
Voted
OOPSLA
2005
Springer
15 years 8 months ago
2005
Springer
This paper describes the process used to extend the Boost Graph Library (BGL) for parallel operation with distributed memory. The BGL consists of a rich set of generic graph algor...
125
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COLT
1999
Springer
15 years 6 months ago
1999
Springer
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...