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» Comparing Computer Models Solving Number Series Problems
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NN
2008
Springer
143views Neural Networks» more  NN 2008»
14 years 9 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
IPPS
2007
IEEE
15 years 4 months ago
Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
Ajay K. Katangur, Somasheker Akkaladevi
SPAA
2012
ACM
13 years 6 days ago
Allowing each node to communicate only once in a distributed system: shared whiteboard models
In this paper we study distributed algorithms on massive graphs where links represent a particular relationship between nodes (for instance, nodes may represent phone numbers and ...
Florent Becker, Adrian Kosowski, Nicolas Nisse, Iv...
SARA
2005
Springer
15 years 3 months ago
Approximate Model-Based Diagnosis Using Preference-Based Compilation
Abstract. This article introduces a technique for improving the efficiency of diagnosis through approximate compilation. We extend the approach of compiling a diagnostic model, as...
Gregory M. Provan
DSN
2002
IEEE
15 years 2 months ago
Performance Analysis of a Consensus Algorithm Combining Stochastic Activity Networks and Measurements
Protocols which solve agreement problems are essential building blocks for fault tolerant distributed applications. While many protocols have been published, little has been done ...
Andrea Coccoli, Péter Urbán, Andrea ...