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» Constrained Classification on Structured Data
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ECTEL
2006
Springer
14 years 14 days 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»
13 years 8 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»
14 years 17 days 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
13 years 10 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
13 years 10 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