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» Decision Making Using Probabilistic Inference Methods
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BMCBI
2007
146views more  BMCBI 2007»
14 years 10 months ago
Spatial location and its relevance for terminological inferences in bio-ontologies
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...
Stefan Schulz, Kornél G. Markó, Udo ...
ATAL
2009
Springer
15 years 1 months ago
On the significance of synchroneity in emergent systems
The goal of this paper is to explore the effects of synchronization on distributed decision making processes. In particular, we examine the dynamics of a spatially distributed mul...
Adam Campbell, Annie S. Wu
ML
2002
ACM
220views Machine Learning» more  ML 2002»
14 years 9 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
TIT
2011
113views more  TIT 2011»
14 years 4 months ago
Eigen-Inference for Energy Estimation of Multiple Sources
—This paper introduces a new method to blindly estimate the transmit power of multiple signal sources in multiantenna fading channels, when the number of sensing devices and the ...
Romain Couillet, Jack W. Silverstein, Zhidong Bai,...
NIPS
2007
14 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...