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101
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AIPS
2004
15 years 4 months ago
Statistical Goal Parameter Recognition
We present components of a system which uses statistical, corpus-based machine learning techniques to perform instantiated goal recognition -- recognition of both a goal schema an...
Nate Blaylock, James F. Allen
ICML
2005
IEEE
16 years 3 months ago
A martingale framework for concept change detection in time-varying data streams
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...
Shen-Shyang Ho
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 3 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
FLAIRS
1998
15 years 3 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
112
Voted
IWCLS
2007
Springer
15 years 8 months ago
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
Abstract. This paper provides a deep insight into the learning mechanisms of UCS, a learning classifier system (LCS) derived from XCS that works under a supervised learning scheme...
Albert Orriols-Puig, Ester Bernadó-Mansilla