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» Neural Networks: A Replacement for Gaussian Processes
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NIPS
1997
15 years 7 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
JOCN
2011
66views more  JOCN 2011»
15 years 22 days ago
The Packet Switching Brain
■ The computer metaphor has served brain science well as a tool for comprehending neural systems. Nevertheless, we propose here that this metaphor be replaced or supplemented by...
Daniel J. Graham, Daniel N. Rockmore
ICASSP
2008
IEEE
16 years 7 days ago
Robust kernel density estimation
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
JooSeuk Kim, Clayton Scott
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 7 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
IJCNN
2008
IEEE
16 years 5 days ago
Stable reciprocal image associations in cognitive systems
—Sensory inputs such as visual images or audio spectrograms can act as symbols in a new cognitive model. The stability of direct image association operators allows the discrete b...
Douglas S. Greer