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» Faults in Large Distributed Systems and What We Can Do About...
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ALT
2011
Springer
12 years 7 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
EDBT
2006
ACM
116views Database» more  EDBT 2006»
14 years 7 months ago
VICO: Visualizing Connected Object Orderings
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...
ESORICS
2008
Springer
13 years 9 months ago
Termination-Insensitive Noninterference Leaks More Than Just a Bit
Current tools for analysing information flow in programs build upon ideas going back to Denning's work from the 70's. These systems enforce an imperfect notion of informa...
Aslan Askarov, Sebastian Hunt, Andrei Sabelfeld, D...
VLDB
2005
ACM
116views Database» more  VLDB 2005»
14 years 1 months ago
Client Assignment in Content Dissemination Networks for Dynamic Data
Consider a content distribution network consisting of a set of sources, repositories and clients where the sources and the repositories cooperate with each other for efficient di...
Shetal Shah, Krithi Ramamritham, Chinya V. Ravisha...
ISMB
1993
13 years 8 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman