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RECOMB
2004
Springer
16 years 4 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
CSL
2012
Springer
13 years 11 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
DATAMINE
2008
95views more  DATAMINE 2008»
15 years 2 months ago
A dynamic bibliometric model for identifying online communities
Predictive modelling of online dynamic user-interaction recordings and community identifi cation from such data b ecomes more and more imp ortant w ith th e w idesp read use of on...
Xin Wang, Ata Kabán
ICML
2008
IEEE
16 years 4 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman
WWW
2006
ACM
16 years 4 months ago
Towards content trust of web resources
Trust is an integral part of the Semantic Web architecture. Most prior work on trust focuses on entity-centered issues such as authentication and reputation and does not take into...
Yolanda Gil, Donovan Artz