7351 search results - page 447 / 1471 » Machine Learning |
207
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ICML
2000
IEEE
16 years 13 hour ago
2000
IEEE
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
213
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ECML
2006
Springer
15 years 11 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
202
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ECTEL
2006
Springer
15 years 11 months ago
2006
Springer
The paper presents an evaluation method for e-learning platforms, based on different types of measurements collected in logs of interactions during learning sessions, and on the an...
246
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ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
228
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ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...