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» Learning and using relational theories
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ICMLA
2009
15 years 4 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 5 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
NIPS
2008
15 years 8 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater
ICML
2005
IEEE
16 years 7 months ago
Exploration and apprenticeship learning in reinforcement learning
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
Pieter Abbeel, Andrew Y. Ng
UTP
2010
15 years 4 months ago
Specification Coverage for Testing in Circus
Abstract. The Unifying Theories of Programming underpins the development of Circus, a state-rich process algebra for refinement. We have previously presented a theory of testing fo...
Ana Cavalcanti, Marie-Claude Gaudel