9841 search results - page 159 / 1969 » Distributed Value Functions |
AI
2000
Springer
14 years 10 months ago
2000
Springer
We present a new approach to dealing with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' -semantics, are epsilon-beli...
CANDC
2006
ACM
14 years 10 months ago
2006
ACM
A model of hydrophobic collapse, which is treated as the driving force for protein folding, is presented. This model is the superposition of three models commonly used in protein ...
IWANN
1999
Springer
15 years 2 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
PVLDB
2008
14 years 9 months ago
2008
We study the efficient evaluation of top-k queries over data items, where the score of each item is dynamically computed by applying an item-specific function whose parameter valu...
77
Voted
JCT
2000
14 years 10 months ago
2000
We give a strongly polynomial-time algorithm minimizing a submodular function f given by a value-giving oracle. The algorithm does not use the ellipsoid method or any other linear ...