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NIPS
2004
13 years 7 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
JAIR
2008
93views more  JAIR 2008»
13 years 5 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
COCOA
2011
Springer
12 years 5 months ago
Algorithmic Aspects of Heterogeneous Biological Networks Comparison
Biological networks are commonly used to model molecular activity within the cell. Recent experimental studies have shown that the detection of conserved subnetworks across several...
Guillaume Blin, Guillaume Fertin, Hafedh Mohamed-B...
VLDB
2001
ACM
127views Database» more  VLDB 2001»
14 years 6 months ago
Efficiently publishing relational data as XML documents
: XML is rapidly emerging as a standard for exchanging business data on the World Wide Web. For the foreseeable future, however, most business data will continue to be stored in re...
Jayavel Shanmugasundaram, Eugene J. Shekita, Rimon...
COCOON
2005
Springer
13 years 11 months ago
Server Allocation Algorithms for Tiered Systems
Many web-based systems have a tiered application architecture, in which a request needs to transverse all the tiers before finishing its processing. One of the most important QoS...
Kamalika Chaudhuri, Anshul Kothari, Rudi Pendaving...