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LICS
2008
IEEE
14 years 4 days ago
Winning Regions of Higher-Order Pushdown Games
In this paper we consider parity games defined by higher-order pushdown automata. These automata generalise pushdown automata by the use of higher-order stacks, which are nested ...
Arnaud Carayol, Matthew Hague, Antoine Meyer, C.-H...
NN
2007
Springer
13 years 12 months ago
Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data
The signature of neuronal assemblies is the higher-order correlation structure of the spiking activity of the participating neurons. Due to the rapid progress in recording technol...
Sonja Grün, Moshe Abeles, Markus Diesmann
TNN
1998
100views more  TNN 1998»
13 years 5 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
UAI
1996
13 years 7 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
BMCBI
2005
198views more  BMCBI 2005»
13 years 5 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....