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NIPS
2008
13 years 9 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
JCSS
2008
159views more  JCSS 2008»
13 years 7 months ago
Analysing distributed Internet worm attacks using continuous state-space approximation of process algebra models
Internet worms are classically described using SIR models and simulations, to capture the massive dynamics of the system. Here we are able to generate a differential equation-base...
Jeremy T. Bradley, Stephen T. Gilmore, Jane Hillst...
ISMIR
2003
Springer
116views Music» more  ISMIR 2003»
14 years 1 months ago
Harmonic analysis with probabilistic graphical models
A technique for harmonic analysis is presented that partitions a piece of music into contiguous regions and labels each with the key, mode, and functional chord, e.g. tonic, domin...
Christopher Raphael, Josh Stoddard
IDEAL
2004
Springer
14 years 1 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
IUI
1999
ACM
14 years 3 days ago
Integrating Organizational Memory and Performance Support
We describe an approach to building integrated performance support systems by using model-based task tracking to link performance support tools to video-based organizational memor...
Christopher R. Johnson, Lawrence Birnbaum, Ray Bar...