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177
Voted
NIPS
2004
15 years 8 months ago
2004
Learning algorithms have enjoyed numerous successes in robotic control tasks. In problems with time-varying dynamics, online learning methods have also proved to be a powerful too...
225
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COLING
2010
15 years 2 months ago
2010
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
172
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NIPS
2001
15 years 8 months ago
2001
We give an unified convergence analysis of ensemble learning methods including e.g. AdaBoost, Logistic Regression and the Least-SquareBoost algorithm for regression. These methods...
183
Voted
ISVC
2007
Springer
16 years 1 months ago
2007
Springer
This paper proposes a novel method for segmenting lips from face images or video sequences. A non-linear learning method in the form of an SVM classifier is trained to recognise l...
154
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ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
In many applications, data appear with a huge number of instances as well as features. Linear Support Vector Machines (SVM) is one of the most popular tools to deal with such larg...