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» A New Approximate Maximal Margin Classification Algorithm
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NIPS
2008
15 years 3 months ago
Continuously-adaptive discretization for message-passing algorithms
Continuously-Adaptive Discretization for Message-Passing (CAD-MP) is a new message-passing algorithm for approximate inference. Most message-passing algorithms approximate continu...
Michael Isard, John MacCormick, Kannan Achan
ALT
2008
Springer
15 years 10 months ago
Smooth Boosting for Margin-Based Ranking
We propose a new boosting algorithm for bipartite ranking problems. Our boosting algorithm, called SoftRankBoost, is a modification of RankBoost which maintains only smooth distri...
Jun-ichi Moribe, Kohei Hatano, Eiji Takimoto, Masa...
116
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CIMCA
2005
IEEE
15 years 7 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
ICML
2010
IEEE
15 years 2 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
CVPR
2003
IEEE
16 years 3 months ago
Classification Based on Symmetric Maximized Minimal Distance in Subspace (SMMS)
We introduce a new classification algorithm based on the concept of Symmetric Maximized Minimal distance in Subspace (SMMS). Given the training data of authentic samples and impos...
Wende Zhang, Tsuhan Chen