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JMLR
2006
132views more  JMLR 2006»
13 years 7 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
CIKM
2000
Springer
13 years 12 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
14 years 3 days ago
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
CCR
2008
101views more  CCR 2008»
13 years 7 months ago
Empirical evaluation of hash functions for multipoint measurements
A broad spectrum of network measurement applications demand passive multipoint measurements in which data from multiple observation points has to be correlated. Examples are the p...
Christian Henke, Carsten Schmoll, Tanja Zseby
DEXA
2000
Springer
75views Database» more  DEXA 2000»
13 years 12 months ago
View Selection in OLAP Environment
To select some "valuable" views for materialization is an essential challenge in OLAP system design. Several techniques proposed previously are not very scalable for syst...
Shi Guang Qiu, Tok Wang Ling