3378 search results - page 90 / 676 » Learning in Friedberg Numberings |
99
Voted
ICML
2003
IEEE
16 years 1 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...
81
Voted
GEM
2008
15 years 2 months ago
2008
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
80
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
PRL
2008
15 years 16 days ago
2008
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
125
Voted
JMLR
2010
14 years 11 months ago
2010
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...