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IPM
2006
111views more  IPM 2006»
14 years 9 months ago
Combining preference- and content-based approaches for improving document clustering effectiveness
E-commerce and knowledge management applications generate and consume tremendous amounts of online information that is typically available as textual documents. To facilitate subs...
Chih-Ping Wei, Chin-Sheng Yang, Han-Wei Hsiao, Tsa...
WIRN
2005
Springer
15 years 3 months ago
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Alberto Bertoni, Giorgio Valentini
66
Voted
EACL
2003
ACL Anthology
14 years 11 months ago
Combining Distributional and Morphological Information for Part of Speech Induction
In this paper we discuss algorithms for clustering words into classes from unlabelled text using unsupervised algorithms, based on distributional and morphological information. We...
Alexander Clark
MEMOCODE
2006
IEEE
15 years 3 months ago
Mixed symbolic representations for model checking software programs
We present an efficient symbolic search algorithm for software model checking. The algorithm combines multiple symbolic representations to efficiently represent the transition r...
Zijiang Yang, Chao Wang, Aarti Gupta, Franjo Ivanc...
92
Voted
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik