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FLAIRS
2004
13 years 10 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
BMCBI
2006
144views more  BMCBI 2006»
13 years 8 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...
ICPR
2002
IEEE
14 years 9 months ago
Bayesian Networks as Ensemble of Classifiers
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang
DCOSS
2007
Springer
14 years 2 months ago
Localization for Anchoritic Sensor Networks
We introduce a class of anchoritic sensor networks, where communications between sensor nodes are undesirable or infeasible due to, e.g., harsh environments, energy constraints, or...
Yuliy M. Baryshnikov, Jian Tan
COMCOM
2010
276views more  COMCOM 2010»
13 years 8 months ago
Adjustable convergecast tree protocol for wireless sensor networks
For data-collection applications in sensor networks, it is important to ensure base station receives a complete picture about the monitored area. Convergecast is an important commu...
Tzung-Shi Chen, Hua-Wen Tsai, Chih-Ping Chu