63 search results - page 1 / 13 » Entropy Regularized LPBoost |
ALT
2008
Springer
14 years 1 months ago
2008
Springer
In this paper we discuss boosting algorithms that maximize the soft margin of the produced linear combination of base hypotheses. LPBoost is the most straightforward boosting algor...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
NIPS
2007
13 years 6 months ago
2007
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
NAACL
2010
13 years 2 months ago
2010
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
CORR
2010
Springer
13 years 1 months ago
2010
Springer
We present a combinatorial characterization of the Bethe entropy function of a factor graph, such a characterization being in contrast to the original, analytical, definition of th...