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NIPS
1998
14 years 11 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
JMLR
2008
168views more  JMLR 2008»
14 years 9 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
PPOPP
2009
ACM
15 years 10 months ago
Compiler-assisted dynamic scheduling for effective parallelization of loop nests on multicore processors
Recent advances in polyhedral compilation technology have made it feasible to automatically transform affine sequential loop nests for tiled parallel execution on multi-core proce...
Muthu Manikandan Baskaran, Nagavijayalakshmi Vydya...
103
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UM
2010
Springer
15 years 1 months ago
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
Abstract. Recent progress has been made by using sensors with Intelligent Tutoring Systems in classrooms in order to predict the affective state of students users. If tutors are a...
David G. Cooper, Kasia Muldner, Ivon Arroyo, Bever...
SIGSOFT
2007
ACM
15 years 10 months ago
Efficient token based clone detection with flexible tokenization
Code clones are similar code fragments that occur at multiple locations in a software system. Detection of code clones provides useful information for maintenance, reengineering, ...
Hamid Abdul Basit, Stan Jarzabek