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FLAIRS
2004
15 years 8 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...
AAAI
1998
15 years 8 months ago
What Is Wrong With Us? Improving Robustness Through Social Diagnosis
1 Robust behavior in complex, dynamic environments mandates that intelligent agents autonomously monitor their own run-time behavior, detect and diagnose failures, and attempt reco...
Gal A. Kaminka, Milind Tambe
FORTE
1994
15 years 8 months ago
An improvement in formal verification
Critical safety and liveness properties of a concurrent system can often be proven with the help of a reachability analysis of a finite state model. This type of analysis is usual...
Gerard J. Holzmann, Doron Peled
180
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BMCBI
2010
145views more  BMCBI 2010»
15 years 7 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...
BMCBI
2008
128views more  BMCBI 2008»
15 years 7 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...