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AAAI
2008
15 years 3 months ago
Efficient Learning of Action Schemas and Web-Service Descriptions
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
Thomas J. Walsh, Michael L. Littman
WSC
2007
15 years 3 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
ICML
2004
IEEE
15 years 7 months ago
Online learning of conditionally I.I.D. data
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
Daniil Ryabko
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 1 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
ECTEL
2006
Springer
15 years 5 months ago
Extending SCORM to Create Adaptive Courses
Abstract. Current e-learning standards have been designed to provide reusability of educational contents and interoperability between systems. Besides these features, content perso...
Marta Rey-López, Ana Fernández Vilas...