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» Recommendation Systems: A Probabilistic Analysis
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USAB
2007
15 years 27 days ago
Improving Interactive Systems Usability Using Formal Description Techniques: Application to HealthCare
In this paper we argue that the formal analysis of an interactive medical system can improve their usability evaluation such that potential erroneous interactions are identified an...
Philippe A. Palanque, Sandra Basnyat, David Navarr...
ENTCS
2008
146views more  ENTCS 2008»
14 years 11 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith
SIGIR
2009
ACM
15 years 6 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
90
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QEST
2007
IEEE
15 years 6 months ago
A Performance Analysis Tool for Scenario-Aware Streaming Applications
Dataflow models are often used for analysing streaming applications. The recently introduced scenario-aware extension of the synchronous dataflow model can capture the dynamism ...
Bart D. Theelen
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
15 years 6 months ago
Modeling UCS as a mixture of experts
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, ...