889 search results - page 141 / 178 » Observational Learning in Random Networks |
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper presents a novel Gaussianized vector representation for scene images by an unsupervised approach. First, each image is encoded as an ensemble of orderless bag of featur...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
AAAI
1996
13 years 9 months ago
1996
We describe a computer program to assist a clinician with assessing the e cacy of treatments in experimental studies for which treatment assignment is random but subject complianc...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...