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» Algorithms for discovering bucket orders from data
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97
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ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
15 years 6 months ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
ILP
2003
Springer
15 years 5 months ago
Mining Model Trees: A Multi-relational Approach
In many data mining tools that support regression tasks, training data are stored in a single table containing both the target field (dependent variable) and the attributes (indepe...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
111
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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 7 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...
106
Voted
IUI
2005
ACM
15 years 6 months ago
Building intelligent shopping assistants using individual consumer models
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
85
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BMCBI
2010
157views more  BMCBI 2010»
15 years 21 days ago
SeqTrim: a high-throughput pipeline for pre-processing any type of sequence read
Background: High-throughput automated sequencing has enabled an exponential growth rate of sequencing data. This requires increasing sequence quality and reliability in order to a...
Juan Falgueras, Antonio J. Lara, Noé Fern&a...