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» Bayesian inference for differential equations
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AAAI
1990
14 years 11 hour ago
An Approach to Reasoning About Continuous Change for Applications in Planning
There are many planning applications that require an agent to coordinate its activities with processes that change continuously over time. Several proposals have been made for com...
Thomas Dean, Greg Siegle
NIPS
1990
14 years 7 hour ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
TIP
2010
137views more  TIP 2010»
13 years 5 months ago
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps
We propose to model the image differentials of astrophysical source maps by Student's t-distribution and to use them in the Bayesian source separation method as priors. We int...
Koray Kayabol, Ercan E. Kuruoglu, José Luis...
BMCBI
2008
166views more  BMCBI 2008»
13 years 11 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
14 years 5 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...