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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 15 days ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
CVPR
2007
IEEE
14 years 9 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
BMCBI
2010
145views more  BMCBI 2010»
13 years 7 months ago
Clustering metagenomic sequences with interpolated Markov models
Background: Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and s...
David R. Kelley, Steven L. Salzberg
SIGMOD
2012
ACM
190views Database» more  SIGMOD 2012»
11 years 10 months ago
Sample-driven schema mapping
End-users increasingly find the need to perform light-weight, customized schema mapping. State-of-the-art tools provide powerful functions to generate schema mappings, but they u...
Li Qian, Michael J. Cafarella, H. V. Jagadish
TKDE
2012
253views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
—Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables and aggregating columns....
Carlos Ordonez, Zhibo Chen 0002