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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
IANDC
2006
103views more  IANDC 2006»
14 years 9 months ago
Bisimulation and cocongruence for probabilistic systems
We introduce a new notion of bisimulation, called event bisimulation on labelled Markov processes (LMPs) and compare it with the, now standard, notion of probabilistic bisimulatio...
Vincent Danos, Josee Desharnais, François L...
QEST
2008
IEEE
15 years 4 months ago
Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
We begin by observing that (discrete-time) QuasiBirth-Death Processes (QBDs) are equivalent, in a precise sense, to (discrete-time) probabilistic 1-Counter Automata (p1CAs), and b...
Kousha Etessami, Dominik Wojtczak, Mihalis Yannaka...
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DATE
2010
IEEE
154views Hardware» more  DATE 2010»
15 years 2 months ago
ERSA: Error Resilient System Architecture for probabilistic applications
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. J...
DLOG
2008
14 years 12 months ago
ContraBovemRufum: A System for Probabilistic Lexicographic Entailment
Representing probabilistic knowledge in combination with a description logic has been a research topic for quite some time. In [1] one of such combinations is introduced. We presen...
Tobias Henrik Näth, Ralf Möller