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CIMCA
2005
IEEE
15 years 10 months ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
PVLDB
2008
146views more  PVLDB 2008»
15 years 4 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
129
Voted
NSDI
2008
15 years 7 months ago
Freezing More Than Bits: Chilling Effects of the OLPC XO Security Model
In this paper, we discuss Bitfrost, the security model developed by the One Laptop Per Child project for its XO laptop computers. Bitfrost implements a number of security measures...
Meredith L. Patterson, Len Sassaman, David Chaum
COLING
2000
15 years 6 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis
IMC
2010
ACM
15 years 3 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...