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ILP
2007
Springer
16 years 9 days ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen
COLING
2010
15 years 1 months ago
Local lexical adaptation in Machine Translation through triangulation: SMT helping SMT
We present a framework where auxiliary MT systems are used to provide lexical predictions to a main SMT system. In this work, predictions are obtained by means of pivoting via aux...
Josep Maria Crego, Aurélien Max, Fran&ccedi...
DATE
2006
IEEE
158views Hardware» more  DATE 2006»
16 years 6 days ago
Modeling multiple input switching of CMOS gates in DSM technology using HDMR
Abstract— Continuing scaling of CMOS technology has allowed aggressive pursuant of increased clock rate in DSM chips. The ever shorter clock period has made switching times of di...
Jayashree Sridharan, Tom Chen
ATAL
2010
Springer
15 years 6 months ago
A probabilistic model for trust and reputation
This paper concerns the problem of agent trust in an electronic market place. We maintain that agent trust involves making decisions under uncertainty and therefore the phenomenon...
George Vogiatzis, Ian MacGillivray, Maria Chli
ATVA
2005
Springer
112views Hardware» more  ATVA 2005»
15 years 11 months ago
Reasoning About Transfinite Sequences
We introduce a family of temporal logics to specify the behavior of systems with Zeno behaviors. We extend linear-time temporal logic LTL to authorize models admitting Zeno sequen...
Stéphane Demri, David Nowak