10054 search results - page 148 / 2011 » On the Complexity of Function Learning |
115
Voted
LION
2007
Springer
15 years 6 months ago
2007
Springer
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
106
click to vote
COLT
2010
Springer
14 years 10 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
145
click to vote
BC
2002
15 years 14 days ago
2002
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
140
click to vote
CORR
2012
Springer
13 years 8 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
111
click to vote
ICCV
2005
IEEE
16 years 2 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...