1062 search results - page 111 / 213 » Sublinear Optimization for Machine Learning |
110
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
109
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
136
Voted
ALT
2005
Springer
15 years 11 months ago
2005
Springer
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
134
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...
145
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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...