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» Constraint Programming for Data Mining and Machine Learning
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99
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ICML
2007
IEEE
16 years 2 months ago
Efficiently computing minimax expected-size confidence regions
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
JURIX
2008
15 years 3 months ago
Argument Based Moderation of Benefit Assessment
: Error rates in the assessment of routine claims for welfare benefits have been found to very high in Netherlands, USA and UK. This is a significant problem both in terms of quali...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 2 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
BMCBI
2008
219views more  BMCBI 2008»
15 years 2 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
132
Voted
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 14 days ago
Viewpoints: A high-performance high-dimensional exploratory data analysis tool
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
Paul R. Gazis, C. Levit, Michael J. Way