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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 2 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 2 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
POPL
2008
ACM
16 years 2 months ago
Cryptographically sound implementations for typed information-flow security
In language-based security, confidentiality and integrity policies conveniently specify the permitted flows of information between different parts of a program with diverse levels...
Cédric Fournet, Tamara Rezk
RECOMB
2002
Springer
16 years 2 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
PERCOM
2007
ACM
16 years 1 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian