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» On learning in agent-centered search
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COLING
1996
15 years 7 months ago
FeasPar - A Feature Structure Parser Learning to Parse Spoken Language
We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...
Finn Dag Buø, Alex Waibel
ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
16 years 28 days ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
SP
2000
IEEE
117views Security Privacy» more  SP 2000»
15 years 10 months ago
Practical Techniques for Searches on Encrypted Data
It is desirable to store data on data storage servers such as mail servers and file servers in encrypted form to reduce security and privacy risks. But this usually implies that ...
Dawn Xiaodong Song, David Wagner, Adrian Perrig

Publication
466views
16 years 5 months ago
Multi-Armed Bandit Mechanisms for Multi-Slot Sponsored Search Auctions
In pay-per click sponsored search auctions which are cur- rently extensively used by search engines, the auction for a keyword involves a certain number of advertisers (say k) c...
Akash Das Sarma, Sujit Gujar, Y. Narahari
EDBT
2009
ACM
277views Database» more  EDBT 2009»
15 years 11 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...