1474 search results - page 191 / 295 » Using Machine Learning to Focus Iterative Optimization |
132
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DSMML
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
124
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ITS
2000
Springer
15 years 6 months ago
2000
Springer
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
150
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RSS
2007
15 years 4 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
132
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CIKM
2010
Springer
15 years 1 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
135
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ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...