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» Constrained Classification on Structured Data
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ECTEL
2006
Springer
15 years 5 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon
JCST
2007
151views more  JCST 2007»
15 years 1 months ago
Indexing Future Trajectories of Moving Objects in a Constrained Network
Abstract Advances in wireless sensor networks and positioning technologies enable new applications monitoring moving objects. Some of these applications, such as traffic managemen...
Ji-Dong Chen, Xiao-Feng Meng
BIBE
2004
IEEE
128views Bioinformatics» more  BIBE 2004»
15 years 5 months ago
Towards a Proteomics Meta-Classification
There is a recognized need for a meta-classification that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins...
Anand Kumar, Barry Smith
ESANN
2006
15 years 3 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
CHI
2008
ACM
15 years 3 months ago
Toped: enabling end-user programmers to validate data
Existing tools require end-user programmers (EUPs) to write regular expressions ("regexps") or even scripts to validate textual inputs, which is slow and error-prone. We...
Christopher Scaffidi, Brad A. Myers, Mary Shaw