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AIIDE
2008
15 years 9 months ago
Learning to be a Bot: Reinforcement Learning in Shooter Games
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
Michelle McPartland, Marcus Gallagher
DCAI
2008
15 years 8 months ago
A Survey of Distributed and Data Intensive CBR Systems
Case-Based Reasoning is a methodology that uses information that has been considered as valid in previous situations to solve new problems. That use of the information allows CBR s...
Aitor Mata
ACL
2003
15 years 8 months ago
Optimizing Story Link Detection is not Equivalent to Optimizing New Event Detection
Link detection has been regarded as a core technology for the Topic Detection and Tracking tasks of new event detection. In this paper we formulate story link detection and new ev...
Ayman Farahat, Francine Chen, Thorsten Brants
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WSC
2004
15 years 8 months ago
An Examination of Forward Volatility
This paper investigates the adequacy of various principal components (p.c.) approaches as data reduction schemes for processing contingent claim valuations on baskets of equities....
Ray Popovic, David Goldsman
FLAIRS
2000
15 years 8 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook