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COLT
2008
Springer
13 years 9 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
ICML
2003
IEEE
14 years 8 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
JMLR
2011
187views more  JMLR 2011»
13 years 2 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
ICALT
2010
IEEE
13 years 5 months ago
Modelling Affect in Learning Environments - Motivation and Methods
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...
Shazia Afzal, Peter Robinson
ML
2002
ACM
104views Machine Learning» more  ML 2002»
13 years 7 months ago
A Simple Decomposition Method for Support Vector Machines
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
Chih-Wei Hsu, Chih-Jen Lin