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NN
2007
Springer
105views Neural Networks» more  NN 2007»
15 years 4 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
WWW
2003
ACM
16 years 5 months ago
Learning Resources Collections: Completeness and Compactness Issues
Features of a quality learning resource collection are discussed and some measures that may be helpful for collection maintenance and update are proposed. Keywords Distance educat...
D. Rovinskiy, Kateryna Synytsya
ICANN
2003
Springer
15 years 9 months ago
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
Jeffrey Byorick, Robi Polikar
COLT
2005
Springer
15 years 10 months ago
Rank, Trace-Norm and Max-Norm
We study the rank, trace-norm and max-norm as complexity measures of matrices, focusing on the problem of fitting a matrix with matrices having low complexity. We present generali...
Nathan Srebro, Adi Shraibman
139
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COLING
2008
15 years 6 months ago
Learning Entailment Rules for Unary Templates
Most work on unsupervised entailment rule acquisition focused on rules between templates with two variables, ignoring unary rules - entailment rules between templates with a singl...
Idan Szpektor, Ido Dagan