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» A Theory of Expressiveness in Mechanisms
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NAR
2010
123views more  NAR 2010»
15 years 1 months ago
Xenbase: gene expression and improved integration
Xenbase (www.xenbase.org), the model organism database for Xenopus laevis and X. (Silurana) tropicalis, is the principal centralized resource of genomic, development data and comm...
Jeff B. Bowes, Kevin A. Snyder, Erik Segerdell, Ch...
ANCS
2007
ACM
15 years 10 months ago
Curing regular expressions matching algorithms from insomnia, amnesia, and acalculia
The importance of network security has grown tremendously and a collection of devices have been introduced, which can improve the security of a network. Network intrusion detectio...
Sailesh Kumar, Balakrishnan Chandrasekaran, Jonath...
RECOMB
2003
Springer
16 years 6 months ago
Joint classifier and feature optimization for cancer diagnosis using gene expression data
Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
Balaji Krishnapuram, Lawrence Carin, Alexander J. ...
VLDB
2003
ACM
147views Database» more  VLDB 2003»
16 years 6 months ago
RE-tree: an efficient index structure for regular expressions
Due to their expressive power, Regular Expressions (REs) are quickly becoming an integral part of language specifications for several important application scenarios. Many of thes...
Chee Yong Chan, Minos N. Garofalakis, Rajeev Rasto...
ALT
2011
Springer
14 years 6 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau