144 search results - page 9 / 29 » Variable selection using random forests |
147
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SAC
2011
ACM
14 years 11 months ago
2011
ACM
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
214
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SIGMOD
2006
ACM
16 years 4 months ago
2006
ACM
Exact computation for aggregate queries usually requires large amounts of memory ? constrained in data-streaming ? or communication ? constrained in distributed computation ? and ...
166
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MCS
2004
Springer
15 years 9 months ago
2004
Springer
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
121
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ICC
2007
IEEE
15 years 10 months ago
2007
IEEE
— In this paper, we present an analytical method to evaluate the bit error rate (BER) of the ultra-wideband (UWB) system in the IEEE 802.15.4a standardized channel model. The IEE...
141
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...