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» Learning to Control in Operational Space
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SIGIR
2010
ACM
14 years 12 months ago
Scalability of findability: effective and efficient IR operations in large information networks
It is crucial to study basic principles that support adaptive and scalable retrieval functions in large networked environments such as the Web, where information is distributed am...
Weimao Ke, Javed Mostafa
EWC
2007
102views more  EWC 2007»
14 years 11 months ago
Interactive collision detection in three-dimensional visualizations of simulated construction operations
This paper presents research that led to the design and implementation of fast and interactive collision detection methods that can be used to identify and report undesirable conï¬...
Vineet R. Kamat, Julio C. Martínez
NIPS
2008
15 years 1 months ago
Multi-resolution Exploration in Continuous Spaces
The essence of exploration is acting to try to decrease uncertainty. We propose a new methodology for representing uncertainty in continuous-state control problems. Our approach, ...
Ali Nouri, Michael L. Littman
ICIP
2004
IEEE
16 years 1 months ago
Tikhonov regularization versus scale space: A new result
It is well-known that scale space theory and Tikhonov regularization are close-knit. In previous studies qualitative analogies and formal relations had already been found, but non...
Luc Florack, Remco Duits, Joris Bierkens
JMLR
2008
124views more  JMLR 2008»
14 years 11 months ago
Learning Control Knowledge for Forward Search Planning
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
Sung Wook Yoon, Alan Fern, Robert Givan