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» Kernel Methods for Pattern Analysis
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IDA
2007
Springer
14 years 10 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
CHI
2005
ACM
15 years 10 months ago
Patterns of media use in an activity-centric collaborative environment
This paper describes a new collaboration technology that is based on the support of lightweight, informally structured, opportunistic activities featuring heterogeneous threads of...
David R. Millen, Michael J. Muller, Werner Geyer, ...
BMCBI
2010
146views more  BMCBI 2010»
14 years 10 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
JOT
2008
124views more  JOT 2008»
14 years 10 months ago
Methodological Proposal for Business Process Management sustained in the use of Patterns
At the moment, enterprises require complex business models with an organizational structures, processes and systems that must be explicitly designed. The work designed by these bu...
Pedro Bonillo, Nancy Zambrano, Alecia Eleonora Aco...
ICIAR
2004
Springer
15 years 3 months ago
Neuro-Fuzzy Method for Automated Defect Detection in Aluminium Castings
The automated flaw detection in aluminium castings consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of pote...
Sergio Hernández, Doris Saez, Domingo Mery