2011 search results - page 353 / 403 » Universal Reinforcement Learning |
TNN
2008
13 years 8 months ago
2008
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
CE
2007
13 years 8 months ago
2007
In this paper, the authors analyse how educational institutions behave in relation with the contents available through the Web. They also reflect on the features of the currently...
EXPERT
2000
13 years 8 months ago
2000
The Behavior-Based Robotics course at Northwestern University is a project-oriented course that gives undergraduate and graduate students exposure to programming research-grade ro...
SYNTHESE
2010
13 years 2 months ago
2010
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In...
201
click to vote
Publication
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...