1895 search results - page 143 / 379 » Function learning from interpolation |
170
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
109
Voted
ECML
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
128
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
121
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HICSS
2003
IEEE
15 years 7 months ago
2003
IEEE
Our “information-oriented” society shows an increasing exigency of life-long learning. In such framework, online Learning is becoming an important tool to allow the flexibilit...
144
Voted
ENC
2004
IEEE
15 years 6 months ago
2004
IEEE
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...