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» Active Sampling for Multiple Output Identification
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COLT
2006
Springer
13 years 9 months ago
Active Sampling for Multiple Output Identification
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Eff...
Shai Fine, Yishay Mansour
AAAI
2010
13 years 6 months ago
Multi-Task Active Learning with Output Constraints
Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
Yi Zhang 0010
IDA
2010
Springer
13 years 3 days ago
Fingerprint classification based on subclass analysis using multiple templates of support vector machines
Fingerprint classification reduces the searching time of an automated fingerprint identification system. Since fingerprints have properties of intra-class diversities and inter-cla...
Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
13 years 8 days ago
An overview of recent results on the identification of sparse channels using random probes
In this paper, we collect and discuss some of the recent theoretical results on channel identification using a random probe sequence. These results are part of the body of work kno...
Justin Romberg
BMCBI
2007
148views more  BMCBI 2007»
13 years 5 months ago
Blast sampling for structural and functional analyses
Background: The post-genomic era is characterised by a torrent of biological information flooding the public databases. As a direct consequence, similarity searches starting with ...
Anne Friedrich, Raymond Ripp, Nicolas Garnier, Emm...