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» The Convergence of Iterated Classification
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87
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CORR
2008
Springer
127views Education» more  CORR 2008»
15 years 23 days ago
Adaptive Base Class Boost for Multi-class Classification
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
Ping Li
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 4 months ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
92
Voted
CORR
2006
Springer
105views Education» more  CORR 2006»
15 years 21 days ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
89
Voted
BMCBI
2010
105views more  BMCBI 2010»
15 years 24 days ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson
124
Voted
VTC
2007
IEEE
135views Communications» more  VTC 2007»
15 years 7 months ago
MBER Turbo Multiuser Beamforming Aided QPSK Receiver Design Using EXIT Chart Analysis
Abstract— This paper studies the mutual information transfer characteristics of a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for qua...
Shuang Tan, Sheng Chen, Lajos Hanzo