889 search results - page 141 / 178 » Observational Learning in Random Networks |
100
Voted
ICPR
2008
IEEE
16 years 1 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...
85
Voted
COLT
2004
Springer
15 years 5 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....
81
Voted
AAAI
1996
15 years 1 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...
102
Voted
CORR
2010
Springer
15 years 18 days 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...
124
Voted
ECCV
2000
Springer
16 years 2 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...