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» Modelling Learning Subjects as Relationships
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SAC
2009
ACM
16 years 25 days ago
Capturing truthiness: mining truth tables in binary datasets
We introduce a new data mining problem: mining truth tables in binary datasets. Given a matrix of objects and the properties they satisfy, a truth table identifies a subset of pr...
Clifford Conley Owens III, T. M. Murali, Naren Ram...
GLVLSI
2009
IEEE
122views VLSI» more  GLVLSI 2009»
16 years 24 days ago
Enhancing SAT-based sequential depth computation by pruning search space
The sequential depth determines the completeness of bounded model checking in design verification. Recently, a SATbased method is proposed to compute the sequential depth of a de...
Yung-Chih Chen, Chun-Yao Wang
CIKM
2009
Springer
16 years 18 days ago
Improving web page classification by label-propagation over click graphs
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffn...
IDEAL
2009
Springer
16 years 18 days ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
MM
2009
ACM
195views Multimedia» more  MM 2009»
16 years 16 days ago
Flickr hypergroups
The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often s...
Radu Andrei Negoescu, Brett Adams, Dinh Q. Phung, ...