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JCSS
2008
138views more  JCSS 2008»
13 years 7 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
JCC
2011
87views more  JCC 2011»
13 years 2 months ago
Determining equilibrium constants for dimerization reactions from molecular dynamics simulations
Abstract: With today’s available computer power, free energy calculations from equilibrium molecular dynamics simulations “via counting” become feasible for an increasing num...
Djurre H. De Jong, Lars V. Schäfer, Alex H. D...
SEMWEB
2007
Springer
14 years 1 months ago
Optimizing the Retrieval of Pertinent Answers for NL Questions with the E-Librarian Service
Abstract. There is a growing discrepancy between the creation of digital content and its actual employment and usefulness in a learning society. Technologies for recording lectures...
Serge Linckels, Harald Sack, Christoph Meinel
JMIV
2010
115views more  JMIV 2010»
13 years 5 months ago
Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...
Minh Ha Quang, Sung Ha Kang, Triet M. Le
IAT
2008
IEEE
14 years 1 months ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg