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GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
13 years 11 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
CHI
2011
ACM
12 years 11 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
FLAIRS
2010
13 years 5 months ago
Using Ontologies in Case-Based Activity Recognition
Pervasive computing requires the ability to detect user activity in order to provide situation-specific services. Case-based reasoning can be used for activity recognition by usin...
Stephen Knox, Lorcan Coyle, Simon Dobson
HIKM
2006
ACM
14 years 1 months ago
Epoch: an ontological framework to support clinical trials management
The increasing complexity of clinical trials has generated an enormous requirement for knowledge and information specification at all stages of the trials, including planning, doc...
Ravi D. Shankar, Susana B. Martins, Martin J. O'Co...
KI
1999
Springer
13 years 12 months ago
Agents in Traffic Modelling - From Reactive to Social Behaviour
In modern societies the demand for mobility is increasing daily. Hence, one challenge to researchers dealing with traffic and transportation is to find efficient ways to model and ...
Ana L. C. Bazzan, Joachim Wahle, Franziska Klü...