7378 search results - page 404 / 1476 » Introduction to Machine Learning |
194
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
230
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
204
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
166
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ALT
2009
Springer
16 years 3 months ago
2009
Springer
In this paper we consider uncountable classes recognizable by ω-automata and investigate suitable learning paradigms for them. In particular, the counterparts of explanatory, vac...
173
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ECML
2007
Springer
16 years 1 months ago
2007
Springer
Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...