397 search results - page 7 / 80 » Local embeddings of metric spaces |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
INFOCOM
2003
IEEE
14 years 2 months ago
2003
IEEE
— Embedding of a graph metric in Euclidean space efficiently and accurately is an important problem in general with applications in topology aggregation, closest mirror selectio...