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84
Voted
NIPS
1996
14 years 10 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
MLCW
2005
Springer
15 years 3 months ago
2005
Springer
Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Lea...
COLT
2010
Springer
14 years 7 months ago
2010
Springer
Let S be an arbitrary measurable space, T R and (X, Y ) be a random couple in S
JMLR
2010
14 years 4 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...