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» Recommendation Systems: A Probabilistic Analysis
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ISOLA
2010
Springer
13 years 7 months ago
Towards Dynamic Adaptation of Probabilistic Systems
Dynamic system adaptation is modeled in the coordination language Paradigm as coordination of collaborating components. A special component McPal allows for addition of new behavio...
Suzana Andova, Luuk Groenewegen, Erik P. de Vink
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
14 years 15 days ago
Identification of Probability weighted multiple ARX models and its application to behavior analysis
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, S...
ECRTS
1999
IEEE
14 years 25 days ago
QoS guarantee using probabilistic deadlines
This paper presents a probabilistic approach to guarantee the performance of a real-time system. While traditional real-time system analysis tends to guarantee that each task inst...
Luca Abeni, Giorgio C. Buttazzo
BMCBI
2005
89views more  BMCBI 2005»
13 years 8 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
RECSYS
2009
ACM
14 years 1 months ago
iTag: a personalized blog tagger
We present iTag, a personalized tag recommendation system for blogs. iTag improves on the state-of-the-art in tag recommendation systems in two ways. First, iTag has much higher p...
Michael Hart, Rob Johnson, Amanda Stent