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FLAIRS
2004
13 years 9 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...
IJCAI
2001
13 years 9 months ago
Solving Non-Boolean Satisfiability Problems with Stochastic Local Search
Much excitement has been generated by the success of stochastic local search procedures at finding solutions to large, very hard satisfiability problems. Many of the problems on wh...
Alan M. Frisch, Timothy J. Peugniez
ATAL
2010
Springer
13 years 9 months ago
On the limits of dictatorial classification
In the strategyproof classification setting, a set of labeled examples is partitioned among multiple agents. Given the reported labels, an optimal classification mechanism returns...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 7 months ago
Colour Guided Colour Image Steganography
Information security has become a cause of concern because of the electronic eavesdropping. Capacity, robustness and invisibility are important parameters in information hiding and...
R. Amirtharajan, Sandeep Kumar Behera, Motamarri A...
BMCBI
2006
165views more  BMCBI 2006»
13 years 7 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...