1393 search results - page 86 / 279 » Machine Learning by Function Decomposition |
116
click to vote
ICML
2009
IEEE
15 years 8 months ago
2009
IEEE
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
137
click to vote
EUROCOLT
1999
Springer
15 years 6 months ago
1999
Springer
We study the learnability of first order Horn expressions from equivalence and membership queries. We show that the class of expressions where every term in the consequent of a c...
117
click to vote
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
106
Voted
ICML
2001
IEEE
16 years 2 months ago
2001
IEEE
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
101
click to vote
COLT
2010
Springer
14 years 12 months ago
2010
Springer
We consider an online learning setting where at each time step the decision maker has to choose how to distribute the future loss between k alternatives, and then observes the los...