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92
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CSFW
2007
IEEE
15 years 7 months ago
Approximated Computationally Bounded Simulation Relations for Probabilistic Automata
We study simulation relations for Probabilistic Automata that require transitions to be matched up to negligible sets provided that computation lengths are polynomially bounded. T...
Roberto Segala, Andrea Turrini
123
Voted
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 2 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
77
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ENTCS
2008
89views more  ENTCS 2008»
15 years 19 days ago
Relational Analysis and Precision via Probabilistic Abstract Interpretation
istic Abstract Interpretation Alessandra Di Pierro1 Pascal Sotin2 Herbert Wiklicky3 Within the context of a quantitative generalisation of the well established framework of Abstra...
Alessandra Di Pierro, Pascal Sotin, Herbert Wiklic...
94
Voted
AIPS
2007
15 years 2 months ago
Discovering Relational Domain Features for Probabilistic Planning
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
Jia-Hong Wu, Robert Givan
100
Voted
KR
2010
Springer
15 years 2 months ago
Independence and Functional Dependence Relations on Secrets
We study logical principles connecting two relations: independence, which is known as nondeducibility in the study of information flow, and functional dependence. Two different e...
Robert Kelvey, Sara Miner More, Pavel Naumov, Benj...