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NECO
2000
113views more  NECO 2000»
13 years 7 months ago
Geometric Analysis of Population Rhythms in Synaptically Coupled Neuronal Networks
We develop geometric dynamical systems methods to determine how various components contribute to a neuronal network's emergent population behavior. The results clarify the mu...
Jonathan E. Rubin, David Terman
NECO
2000
86views more  NECO 2000»
13 years 7 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
NECO
1998
83views more  NECO 1998»
13 years 7 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
NECO
1998
168views more  NECO 1998»
13 years 7 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
NECO
1998
171views more  NECO 1998»
13 years 7 months ago
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
three different levels of abstraction: detailed models including ctivity dynamics, weight dynamics that abstract from the neural activity dynamics by an adiabatic approximation, an...
Laurenz Wiskott, Terrence J. Sejnowski