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» On vector autoregressive modeling in space and time
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ALT
2006
Springer
15 years 6 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
BMCBI
2008
89views more  BMCBI 2008»
14 years 9 months ago
Increasing the efficiency of bacterial transcription simulations: When to exclude the genome without loss of accuracy
Background: Simulating the major molecular events inside an Escherichia coli cell can lead to a very large number of reactions that compose its overall behaviour. Not only should ...
Marco A. J. Iafolla, Guang Qiang Dong, David R. Mc...
TNN
2010
234views Management» more  TNN 2010»
14 years 4 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
ICALP
2001
Springer
15 years 2 months ago
Permutation Editing and Matching via Embeddings
Abstract. If the genetic maps of two species are modelled as permutations of (homologous) genes, the number of chromosomal rearrangements in the form of deletions, block moves, inv...
Graham Cormode, S. Muthukrishnan, Süleyman Ce...
105
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ICC
2007
IEEE
193views Communications» more  ICC 2007»
15 years 3 months ago
Power-Aware MAC for MultiHop Wireless Networks: A Cross Layer Approach
— This paper addresses the problem of designing a power-aware Multiple Access Control (MAC) protocol for Multihop Wireless Networks (MHWN). The problem is formulated as a cross l...
Abdorasoul Ghasemi, Karim Faez