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JAIR
1998
198views more  JAIR 1998»
15 years 3 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
CIKM
2010
Springer
15 years 2 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
WWW
2011
ACM
14 years 11 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
SIGCSE
2008
ACM
120views Education» more  SIGCSE 2008»
15 years 4 months ago
A system for developing tablet pc applications for education
We describe a new system for building Tablet PC-based classroom software. The system, called SLICE, is built for extensibility, using a unique "explicit state" model. Ap...
Sam Kamin, Michael Hines, Chad Peiper, Boris Capit...