42 search results - page 3 / 9 » Predicting good probabilities with supervised learning |
IEAAIE
2005
Springer
13 years 11 months ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
ICML
1999
IEEE
14 years 6 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
GECCO
2011
Springer
12 years 9 months ago
2011
Springer
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
CIKM
2011
Springer
12 years 5 months ago
2011
Springer
We consider the problem of link prediction in signed networks. Such networks arise on the web in a variety of ways when users can implicitly or explicitly tag their relationship w...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...