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AAAI
1994
14 years 10 months ago
Using Induction to Refine Information Retrieval Strategies
Conceptual information retrieval systems use structured document indices, domain knowledge and a set of heuristic retrieval strategies to match user queries with a set of indices ...
Catherine Baudin, Barney Pell, Smadar Kedar
FLAIRS
2004
14 years 11 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
ISNN
2010
Springer
15 years 2 months ago
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
Shengbo Guo, Scott Sanner
84
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DELOS
2000
14 years 10 months ago
Using the Wavelet Transform to Learn from User Feedback
User feedback has proven very successful to query large multimedia databases. Due to the nature of the data representation and the mismatch between mathematical models and human p...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 3 months ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne