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FOCS
2002
IEEE
15 years 3 months ago
Learning a Hidden Matching
We consider the problem of learning a matching (i.e., a graph in which all vertices have degree 0 or 1) in a model where the only allowed operation is to query whether a set of ve...
Noga Alon, Richard Beigel, Simon Kasif, Steven Rud...
CSC
2006
14 years 11 months ago
Parallel Computations Reveal Hidden Errors of Commonly Used Random Number Generators
This paper reports that in parallel Monte-Carlo simulations of the 2D Ising-Model, commonly used pseudo-random number generators (PRNG) lead to manifestly erroneous results. When ...
Hyo Ashihara, Ai Kuramoto, Isaku Wada, Makoto Mats...
ESANN
2001
14 years 11 months ago
Transfer functions: hidden possibilities for better neural networks
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Wlodzislaw Duch, Norbert Jankowski
CN
2007
91views more  CN 2007»
14 years 10 months ago
Improving the quality of alerts and predicting intruder's next goal with Hidden Colored Petri-Net
Intrusion detection systems (IDS) often provide poor quality alerts, which are insufficient to support rapid identification of ongoing attacks or predict an intruder’s next lik...
Dong Yu, Deborah A. Frincke
ICASSP
2010
IEEE
14 years 10 months ago
Model-level data-driven sub-units for signs in videos of continuous Sign Language
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
Stavros Theodorakis, Vassilis Pitsikalis, Petros M...