1991 search results - page 247 / 399 » Small Models of Large Machines |
131
click to vote
ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
155
click to vote
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
148
click to vote
IJCV
2000
15 years 4 months ago
2000
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
139
click to vote
CLOUDCOM
2010
Springer
15 years 2 months ago
2010
Springer
The Semantic Web is gaining immense popularity-and with it, the Resource Description Framework (RDF) broadly used to model Semantic Web content. However, access control on RDF sto...
177
click to vote
ML
2010
ACM
14 years 11 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...