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» Inferring Knowledge from a Large Semantic Network
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PRL
2000
182views more  PRL 2000»
14 years 11 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
APIN
2007
118views more  APIN 2007»
14 years 12 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
ISI
2006
Springer
14 years 11 months ago
Database Security Protection Via Inference Detection
Access control mechanisms are commonly used to provide control over who may access sensitive information. However, malicious users can exploit the correlation among the data and in...
Yu Chen, Wesley W. Chu
KI
2010
Springer
14 years 10 months ago
Putting People's Common Sense into Knowledge Bases of Household Robots
Abstract. Unlike people, household robots cannot rely on commonsense knowledge when accomplishing everyday tasks. We believe that this is one of the reasons why they perform poorly...
Lars Kunze, Moritz Tenorth, Michael Beetz
BMCBI
2010
146views more  BMCBI 2010»
14 years 12 months ago
On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference
Background: Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarrays has become a fundamental approach for discovering transcription factor (TF)...
Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Ko...