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» Regularized multi--task learning
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NIPS
2004
13 years 11 months ago
Semi-supervised Learning by Entropy Minimization
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Yves Grandvalet, Yoshua Bengio
ICANN
2007
Springer
14 years 4 months ago
A Two-Layer ICA-Like Model Estimated by Score Matching
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
Urs Köster, Aapo Hyvärinen
COLT
2010
Springer
13 years 8 months ago
Composite Objective Mirror Descent
We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstor...
John Duchi, Shai Shalev-Shwartz, Yoram Singer, Amb...
ICALT
2007
IEEE
14 years 4 months ago
AirTransNote: An Instant Note Sharing and Reproducing System to Support Students Learning
We developed AirTransNote, an interactive learning system augmented by digital pens and PDAs for each student. All notes written on regular paper sheets are immediately digitized ...
Motoki Miura, Susumu Kunifuji, Yasuyuki Sakamoto
COLT
1994
Springer
14 years 2 months ago
Efficient Reinforcement Learning
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
Claude-Nicolas Fiechter