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» A Support Vector Clustering Method
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147
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CVPR
2011
IEEE
14 years 7 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
155
Voted
BMCBI
2007
153views more  BMCBI 2007»
15 years 3 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
111
Voted
ISSAC
2009
Springer
139views Mathematics» more  ISSAC 2009»
15 years 10 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
148
Voted
ICML
2005
IEEE
16 years 4 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
118
Voted
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 5 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...