1474 search results - page 93 / 295 » Using Machine Learning to Focus Iterative Optimization |
115
Voted
NIPS
1997
15 years 4 months ago
1997
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
92
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using instance specific distance which captures ...
138
Voted
COLT
1993
Springer
15 years 6 months ago
1993
Springer
In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
149
Voted
ECML
2004
Springer
15 years 6 months ago
2004
Springer
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
111
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...