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ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 7 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
ECML
2005
Springer
15 years 6 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
100
Voted
EPIA
2005
Springer
15 years 6 months ago
Improving Passage Retrieval in Question Answering Using NLP
Abstract. This paper describes an approach for the integration of linguistic information in passage retrieval in an open-source question answering system for Dutch. Annotation prod...
Jörg Tiedemann
77
Voted
IPPS
2003
IEEE
15 years 6 months ago
A Performance Interface for Component-Based Applications
This work targets the emerging use of software component technology for high-performance scientific parallel and distributed computing. While component software engineering will ...
Sameer Shende, Allen D. Malony, Craig Edward Rasmu...
CLOR
2006
15 years 4 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman