10054 search results - page 438 / 2011 » On the Complexity of Function Learning |
376
click to vote
ICA
2012
Springer
14 years 13 days ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
129
click to vote
ICML
2003
IEEE
16 years 5 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...
133
click to vote
ISMIR
2004
Springer
15 years 10 months ago
2004
Springer
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
106
click to vote
ECML
2003
Springer
15 years 10 months ago
2003
Springer
In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to ...
145
click to vote
IJCAI
2007
15 years 6 months ago
2007
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...