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ICML
2006
IEEE
16 years 21 days ago
Multiclass reduced-set support vector machines
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
Benyang Tang, Dominic Mazzoni
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 10 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
KES
2008
Springer
15 years 6 months ago
Driven by Compression Progress
I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict or compress the data...
Jürgen Schmidhuber
IEICET
2007
94views more  IEICET 2007»
15 years 6 months ago
A New Meta-Criterion for Regularized Subspace Information Criterion
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the gener...
Yasushi Hidaka, Masashi Sugiyama
AIEDU
2007
101views more  AIEDU 2007»
15 years 6 months ago
Evaluating the Effect of Open Student Models on Self-Assessment
Abstract. This paper discusses the simple open student models used in two of our constraint-based tutors, SQLd KERMIT, and their effects on self-assessment. The systems present a h...
Antonija Mitrovic, Brent Martin