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» Evaluating learning algorithms and classifiers
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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 2 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
SIGIR
2005
ACM
14 years 2 months ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
SIGMOD
2010
ACM
201views Database» more  SIGMOD 2010»
13 years 8 months ago
I4E: interactive investigation of iterative information extraction
Information extraction systems are increasingly being used to mine structured information from unstructured text documents. A commonly used unsupervised technique is to build iter...
Anish Das Sarma, Alpa Jain, Divesh Srivastava
BMCBI
2010
134views more  BMCBI 2010»
13 years 8 months ago
Semi-automated screening of biomedical citations for systematic reviews
Background: Systematic reviews address a specific clinical question by unbiasedly assessing and analyzing the pertinent literature. Citation screening is a time-consuming and crit...
Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau...
CCR
2008
118views more  CCR 2008»
13 years 8 months ago
A generic language for application-specific flow sampling
Flow records gathered by routers provide valuable coarse-granularity traffic information for several measurement-related network applications. However, due to high volumes of traf...
Harsha V. Madhyastha, Balachander Krishnamurthy