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» A Boosting Algorithm for Regression
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168
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ICML
2001
IEEE
16 years 3 months ago
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
Sanmay Das
ECML
2004
Springer
15 years 8 months ago
A Boosting Approach to Multiple Instance Learning
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
Peter Auer, Ronald Ortner
121
Voted
ICML
2004
IEEE
16 years 3 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
UAI
2008
15 years 4 months ago
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression
We propose a variable decomposition algorithm
Liefeng Bo, Cristian Sminchisescu
109
Voted
JSS
2010
104views more  JSS 2010»
14 years 9 months ago
Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation
Test suite minimisation techniques seek to reduce the effort required for regression testing by selecting a subset of test suites. In previous work, the problem has been considere...
Shin Yoo, Mark Harman