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NIPS
2003
13 years 10 months ago
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models....
Thomas Natschläger, Wolfgang Maass
NIPS
2003
13 years 10 months ago
Variational Linear Response
A general linear response method for deriving improved estimates of correlations in the variational Bayes framework is presented. Three applications are given and it is discussed ...
Manfred Opper, Ole Winther
NIPS
2003
13 years 10 months ago
Unsupervised Color Decomposition Of Histologically Stained Tissue Samples
Accurate spectral decomposition is essential for the analysis and diagnosis of histologically stained tissue sections. In this paper we present the first automated system for per...
Andrew Rabinovich, Sameer Agarwal, Casey Laris, Je...
NIPS
2003
13 years 10 months ago
Online Learning of Non-stationary Sequences
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
Claire Monteleoni, Tommi Jaakkola
NIPS
2003
13 years 10 months ago
The IM Algorithm: A Variational Approach to Information Maximization
The maximisation of information transmission over noisy channels is a common, albeit generally computationally difficult problem. We approach the difficulty of computing the mutua...
David Barber, Felix V. Agakov