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» Structure learning of Bayesian networks using constraints
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ATVA
2004
Springer
146views Hardware» more  ATVA 2004»
14 years 3 days ago
A Global Timed Bisimulation Preserving Abstraction for Parametric Time-Interval Automata
Timed Bisimulation Preserving Abstraction for Parametric Time-Interval Automata Akio Nakata, Tadaaki Tanimoto, Suguru Sasaki, Teruo Higashino Department of Information Networking, ...
Tadaaki Tanimoto, Suguru Sasaki, Akio Nakata, Teru...
SIGCOMM
2009
ACM
14 years 1 months ago
PLUG: flexible lookup modules for rapid deployment of new protocols in high-speed routers
New protocols for the data link and network layer are being proposed to address limitations of current protocols in terms of scalability, security, and manageability. High-speed r...
Lorenzo De Carli, Yi Pan, Amit Kumar, Cristian Est...
IWANN
1997
Springer
13 years 11 months ago
The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture
A detailed connectionist architecture is described which is capable of relating psychological behavior to the functioning of neurons and neurochemicals. The need to be able to bui...
L. Andrew Coward
JMLR
2008
148views more  JMLR 2008»
13 years 6 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
ECAI
2010
Springer
13 years 4 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic