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» Unsupervised Feature Selection Using Feature Similarity
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LISA
2003
15 years 7 months ago
Three Practical Ways to Improve Your Network
This paper presents three simple techniques for improving network service using relatively unknown features of many existing networks. The resulting system provides greater reliab...
Kevin Miller
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
16 years 1 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson
CLEF
2006
Springer
15 years 10 months ago
Experimenting a "General Purpose" Textual Entailment Learner in AVE
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
Fabio Massimo Zanzotto, Alessandro Moschitti
ISPASS
2006
IEEE
16 years 14 days ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
CHI
2000
ACM
15 years 10 months ago
The social life of small graphical chat spaces
This paper provides a unique quantitative analysis of the social dynamics of three chat rooms in the Microsoft VChat graphical chat system. Survey and behavioral data were used to...
Marc A. Smith, Shelly Farnham, Steven M. Drucker