2683 search results - page 127 / 537 » Machine learning problems from optimization perspective |
179
Voted
NEUROSCIENCE
2001
Springer
15 years 9 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
157
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COLT
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. In this paper we initiate an exploration of relationships between “preference elicitation”, a learning-style problem that arises in combinatorial auctions, and the pr...
157
Voted
ICALT
2008
IEEE
15 years 11 months ago
2008
IEEE
As a part of many e-learning initiatives, a set of learning units must be arranged in a particular order to meet the learners’ requirements. This process is known as sequencing ...
128
Voted
ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
145
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EUROCAST
2007
Springer
15 years 11 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...