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» Recommendation Systems: A Probabilistic Analysis
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VALUETOOLS
2006
ACM
162views Hardware» more  VALUETOOLS 2006»
15 years 5 months ago
Using UML state machines and petri nets for the quantitative investigation of ETCS
This paper proposes the modeling of technical systems and their behavior by means of Unified Modeling Language (UML) State Machines and the extending UML Profile for Schedulabil...
Jan Trowitzsch, Armin Zimmermann
BERTINORO
2005
Springer
15 years 5 months ago
Prediction-Based Software Availability Enhancement
We propose a new paradigm for software availability enhancement. We offer a two-step strategy: Failure prediction followed by maintenance actions with the objective of avoiding imp...
Felix Salfner, Günther A. Hoffmann, Miroslaw ...
93
Voted
PRICAI
2004
Springer
15 years 5 months ago
Text Classification Using Belief Augmented Frames
: In this paper we present our work on applying Belief Augmented Frames to the text classification problem. We formulate the problem in two alternative ways, and we evaluate the pe...
Colin Keng-Yan Tan
88
Voted
IAT
2009
IEEE
15 years 3 months ago
Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables
Abstract--This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through mess...
Patrick de Oude, Gregor Pavlin
LREC
2008
131views Education» more  LREC 2008»
15 years 1 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...