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147
Voted
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 9 months ago
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
Bianca Zadrozny, John Langford, Naoki Abe
ICML
2005
IEEE
16 years 4 months ago
Intrinsic dimensionality estimation of submanifolds in Rd
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
Matthias Hein, Jean-Yves Audibert
ICML
2010
IEEE
15 years 4 months ago
A Stick-Breaking Construction of the Beta Process
We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich...
John William Paisley, Aimee Zaas, Christopher W. W...
109
Voted
DNA
2005
Springer
118views Bioinformatics» more  DNA 2005»
15 years 9 months ago
Molecular Learning of wDNF Formulae
We introduce a class of generalized DNF formulae called wDNF or weighted disjunctive normal form, and present a molecular algorithm that learns a wDNF formula from training example...
Byoung-Tak Zhang, Ha-Young Jang
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 10 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar