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ITNG
2010
IEEE
8 years 10 months ago
Scalable Intrusion Detection with Recurrent Neural Networks
The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all...
Longy O. Anyanwu, Jared Keengwe, Gladys A. Arome
ML
1998
ACM
136views Machine Learning» more  ML 1998»
8 years 11 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
TNN
2008
177views more  TNN 2008»
8 years 12 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
ROBOCUP
1999
Springer
141views Robotics» more  ROBOCUP 1999»
9 years 4 months ago
A Segmentation System for Soccer Robot Based on Neural Networks
An innovative technique for segmentation of color images is proposed. The technique implements an approach based on thresholding of the hue histogram. A new function for detecting...
Carmelo Amoroso, Antonio Chella, Vito Morreale, Pi...
COMPLEX
2009
Springer
9 years 4 months ago
Complex Multi-modal Multi-level Influence Networks - Affordable Housing Case Study -
Most influence networks are depicted as nodes and links operating in the manner of a feed-forward neural network where both nodes and links appear to be homogenous in their nature....
Patrick Beautement, Christine Brönner
CMMR
2007
Springer
161views Music» more  CMMR 2007»
9 years 6 months ago
NN Music: Improvising with a 'Living' Computer
A live algorithm describes an ideal autonomous performance system able to engage in performance with abilities analogous, if not identical, to a human musician. This paper proposes...
Michael Young
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