3643 search results - page 84 / 729 » Learning Submodular Functions |
107
Voted
ESANN
2008
14 years 11 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
75
Voted
AI
2004
Springer
15 years 3 months ago
2004
Springer
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...
82
Voted
COLT
1999
Springer
15 years 2 months ago
1999
Springer
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
IJCAI
1997
14 years 11 months ago
1997
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...