699 search results - page 33 / 140 » Online Dynamic Value System for Machine Learning |
ICANN
2001
Springer
14 years 29 days ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
OOPSLA
2007
Springer
14 years 2 months ago
2007
Springer
Calling context enhances program understanding and dynamic analyses by providing a rich representation of program location. Compared to imperative programs, objectoriented program...
PAMI
2007
13 years 8 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
CEAS
2007
Springer
14 years 14 days ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
ICMLA
2010
13 years 5 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...