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ICTAI
2008
IEEE
15 years 11 months ago
Using Imputation Techniques to Help Learn Accurate Classifiers
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 8 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ICML
2004
IEEE
16 years 5 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
EUROMICRO
2000
IEEE
15 years 8 months ago
Supporting Cooperative Learning of Process Knowledge on the World Wide Web
The WWW makes learning materials widely accessible and provides an environment where people can learn across time and space. However, the simple read-only information structure on...
Weigang Wang, Jörg M. Haake, Jessica Rubart, ...
CHI
2007
ACM
16 years 4 months ago
Project massive: self-regulation and problematic use of online gaming
A longitudinal design was employed to collect three waves of survey data over a 14 month period from 2790 online gamers. Respondents were asked questions about their gaming activi...
A. Fleming Seay, Robert E. Kraut