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» On the generalization of soft margin algorithms
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ESANN
2006
13 years 10 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
SEMCO
2007
IEEE
14 years 3 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
14 years 3 months ago
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits
Design for specific customer service plays a crucial role for the majority of the market in modern electronics. However, adaptability to an individual customer results in increasi...
Lyudmila Zinchenko, Matthias Radecker, Fabio Bisog...
ICNC
2005
Springer
14 years 2 months ago
Harmony Search for Generalized Orienteering Problem: Best Touring in China
In order to overcome the drawbacks of mathematical optimization techniques, soft computing algorithms have been vigorously introduced during the past decade. However, there are sti...
Zong Woo Geem, Chung-Li Tseng, Yongjin Park
IJCAI
2001
13 years 10 months ago
A Simple Additive Re-weighting Strategy for Improving Margins
We present a sample re-weighting scheme inspired by recent results in margin theory. The basic idea is to add to the training set replicas of samples which are not classified with...
Fabio Aiolli, Alessandro Sperduti