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» A Support Vector Clustering Method
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CVPR
2011
IEEE
14 years 10 months ago
Support Tucker Machines
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
Irene Kotsia, Ioannis Patras
BMCBI
2007
153views more  BMCBI 2007»
15 years 6 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
ISSAC
2009
Springer
139views Mathematics» more  ISSAC 2009»
16 years 1 months ago
Multihomogeneous resultant formulae for systems with scaled support
Constructive methods for matrices of multihomogeneous resultants for unmixed systems have been studied in [7, 14, 16]. We generalize these constructions to mixed systems, whose Ne...
Ioannis Z. Emiris, Angelos Mantzaflaris
ICML
2005
IEEE
16 years 7 months ago
Large margin non-linear embedding
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
Alexander Zien, Joaquin Quiñonero Candela
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 8 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...