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» Feature selection for ordinal regression
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RAID
2009
Springer
14 years 2 months ago
PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime
In this paper, we present an accurate and realtime PE-Miner framework that automatically extracts distinguishing features from portable executables (PE) to detect zero-day (i.e. pr...
M. Zubair Shafiq, S. Momina Tabish, Fauzan Mirza, ...
DATE
2003
IEEE
101views Hardware» more  DATE 2003»
14 years 1 months ago
Energy Estimation for Extensible Processors
This paper presents an efficient methodology for estimating the energy consumption of application programs running on extensible processors. Extensible processors, which are incr...
Yunsi Fei, Srivaths Ravi, Anand Raghunathan, Niraj...
PLDI
2003
ACM
14 years 1 months ago
Bug isolation via remote program sampling
We propose a low-overhead sampling infrastructure for gathering information from the executions experienced by a program’s user community. Several example applications illustrat...
Ben Liblit, Alexander Aiken, Alice X. Zheng, Micha...
EOR
2007
165views more  EOR 2007»
13 years 7 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara