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» A General Method for Statistical Performance Evaluation
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PRL
2011
14 years 14 days ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
BMCBI
2010
110views more  BMCBI 2010»
14 years 9 months ago
On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence
Background: In eukaryotes, most DNA-binding proteins exert their action as members of large effector complexes. The presence of these complexes are revealed in high-throughput gen...
David S. Huen, Steven Russell
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
15 years 10 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
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ACL
1996
14 years 11 months ago
High-Performance Bilingual Text Alignment Using Statistical and Dictionary Information
This paper describes an accurate and robust text alignment system for structurally different languages. Among structurally different languages such as Japanese and English, there ...
Masahiko Haruno, Takefumi Yamazaki
ICPPW
2002
IEEE
15 years 2 months ago
A Statistical Approach for the Analysis of the Relation Between Low-Level Performance Information, the Code, and the Environment
This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
Nayda G. Santiago, Diane T. Rover, Domingo Rodr&ia...