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LWA
2004
13 years 11 months ago
A Simple Method For Estimating Conditional Probabilities For SVMs
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
Stefan Rüping
NIPS
2001
13 years 11 months ago
Learning Spike-Based Correlations and Conditional Probabilities in Silicon
We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, c...
Aaron P. Shon, David Hsu, Chris Diorio
UAI
2004
13 years 11 months ago
A New Characterization of Probabilities in Bayesian Networks
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
Lenhart K. Schubert
NETWORKING
2000
13 years 11 months ago
Computing Blocking Probabilities in Multi-class Wavelength Routing Networks
We present an approximate analytical method to compute efficiently the call blocking probabilities in wavelength routing networks with multiple classes of calls. The model is fairl...
Sridhar Ramesh, George N. Rouskas, Harry G. Perros
NIPS
2000
13 years 11 months ago
Second Order Approximations for Probability Models
In this paper, we derive a second order mean field theory for directed graphical probability models. By using an information theoretic argument it is shown how this can be done in...
Hilbert J. Kappen, Wim Wiegerinck