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KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
HPCA
2008
IEEE
16 years 7 months ago
PEEP: Exploiting predictability of memory dependences in SMT processors
Simultaneous Multithreading (SMT) attempts to keep a dynamically scheduled processor's resources busy with work from multiple independent threads. Threads with longlatency st...
Samantika Subramaniam, Milos Prvulovic, Gabriel H....
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 7 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
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ALT
2007
Springer
16 years 3 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
ALT
2006
Springer
16 years 3 months ago
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
Daniil Ryabko, Marcus Hutter