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IJCAI
2003
13 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
CICC
2011
106views more  CICC 2011»
12 years 9 months ago
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D....
RECOMB
2003
Springer
14 years 10 months ago
Modeling dependencies in protein-DNA binding sites
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kap...
MINENET
2005
ACM
14 years 3 months ago
ACAS: automated construction of application signatures
An accurate mapping of traffic to applications is important for a broad range of network management and measurement tasks. Internet applications have traditionally been identifi...
Patrick Haffner, Subhabrata Sen, Oliver Spatscheck...
IH
2004
Springer
14 years 3 months ago
Empirical and Theoretical Evaluation of Active Probing Attacks and Their Countermeasures
A variety of remote sensing attacks allow adversaries to break flow confidentiality and gather mission-critical information in distributed systems. Such attacks are easily supple...
Xinwen Fu, Bryan Graham, Dong Xuan, Riccardo Betta...