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JMLR
2010
198views more  JMLR 2010»
14 years 8 months ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
JMLR
2010
170views more  JMLR 2010»
14 years 8 months ago
A Streaming Parallel Decision Tree Algorithm
A new algorithm for building decision tree classifiers is proposed. The algorithm is executed in a distributed environment and is especially designed for classifying large datase...
Yael Ben-Haim, Elad Tom-Tov
JMLR
2010
143views more  JMLR 2010»
14 years 4 months ago
Rademacher Complexities and Bounding the Excess Risk in Active Learning
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...
Vladimir Koltchinskii
JMLR
2010
150views more  JMLR 2010»
14 years 4 months ago
Approximate parameter inference in a stochastic reaction-diffusion model
We present an approximate inference approach to parameter estimation in a spatio-temporal stochastic process of the reaction-diffusion type. The continuous space limit of an infer...
Andreas Ruttor, Manfred Opper
JMLR
2010
82views more  JMLR 2010»
14 years 4 months ago
Negative Results for Active Learning with Convex Losses
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Steve Hanneke, Liu Yang