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NIPS
2000
9 years 3 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
GROUP
2003
ACM
9 years 7 months ago
Increasing workplace independence for people with cognitive disabilities by leveraging distributed cognition among caregivers an
In this paper we describe a current group configuration that is used to support people with cognitive disabilities (hereinafter referred to as “clients”) in the workplace. A c...
Stefan Carmien, Rogerio DePaula, Andrew Gorman, An...
PERCOM
2004
ACM
10 years 2 months ago
A User-Guided Cognitive Agent for Network Service Selection in Pervasive Computing Environments
Connectivity is central to pervasive computing environments. We seek to catalyze a world of rich and diverse connectivity through technologies that drastically simplify the task o...
George Lee, Peyman Faratin, Steven Bauer, John Wro...
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
9 years 8 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
DIS
2007
Springer
9 years 8 months ago
Fast NML Computation for Naive Bayes Models
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Tommi Mononen, Petri Myllymäki
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