2665 search results - page 253 / 533 » Bundle Methods for Machine Learning |
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
115
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
137
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
159
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JMLR
2006
15 years 2 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
130
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AIEDAM
1998
15 years 2 months ago
1998
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...