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IJCNN
2008
IEEE
14 years 4 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
KBSE
2008
IEEE
14 years 4 months ago
Reducing the Cost of Path Property Monitoring Through Sampling
Run-time monitoring can provide important insights about a program’s behavior and, for simple properties, it can be done efficiently. Monitoring properties describing sequences...
Matthew B. Dwyer, Madeline Diep, Sebastian G. Elba...
HUC
2007
Springer
14 years 4 months ago
Symbolic Object Localization Through Active Sampling of Acceleration and Sound Signatures
We describe a novel method for symbolic location discovery of simple objects. The method requires no infrastructure and relies on simple sensors routinely used in sensor nodes and ...
Kai S. Kunze, Paul Lukowicz
ICALP
2007
Springer
14 years 4 months ago
Private Multiparty Sampling and Approximation of Vector Combinations
We consider the problem of private efficient data mining of vertically-partitioned databases. Each of several parties holds a column of a data matrix (a vector) and the parties wan...
Yuval Ishai, Tal Malkin, Martin J. Strauss, Rebecc...
CIBCB
2006
IEEE
14 years 4 months ago
A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goeb...