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» Learning probabilistic decision graphs
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SODA
2004
ACM
94views Algorithms» more  SODA 2004»
15 years 1 months ago
Quantitative stochastic parity games
We study perfect-information stochastic parity games. These are two-player nonterminating games which are played on a graph with turn-based probabilistic transitions. A play resul...
Krishnendu Chatterjee, Marcin Jurdzinski, Thomas A...
89
Voted
FORMATS
2010
Springer
14 years 9 months ago
Expected Reachability-Time Games
In an expected reachability-time game (ERTG) two players, Min and Max, move a token along the transitions of a probabilistic timed automaton, so as to minimise and maximise, respec...
Vojtech Forejt, Marta Z. Kwiatkowska, Gethin Norma...
ICDAR
2007
IEEE
15 years 6 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
CORR
2008
Springer
173views Education» more  CORR 2008»
14 years 11 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar
92
Voted
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
16 years 2 days ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos