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APIN
1999
107views more  APIN 1999»
13 years 10 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
COLT
1999
Springer
14 years 2 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
14 years 10 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
SP
2003
IEEE
14 years 3 months ago
Using Memory Errors to Attack a Virtual Machine
We present an experimental study showing that soft memory errors can lead to serious security vulnerabilities in Java and .NET virtual machines, or in any system that relies on ty...
Sudhakar Govindavajhala, Andrew W. Appel
SOUPS
2009
ACM
14 years 4 months ago
Machine learning attacks against the Asirra CAPTCHA
The ASIRRA CAPTCHA [6], recently proposed at ACM CCS 2007, relies on the problem of distinguishing images of cats and dogs (a task that humans are very good at). The security of AS...
Philippe Golle