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JMLR
2010
115views more  JMLR 2010»
13 years 11 months ago
Generalized Power Method for Sparse Principal Component Analysis
Michel Journée, Yurii Nesterov, Peter Richt...
JMLR
2010
143views more  JMLR 2010»
13 years 11 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
JMLR
2010
198views more  JMLR 2010»
13 years 11 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
157views more  JMLR 2010»
13 years 11 months ago
Kronecker Graphs: An Approach to Modeling Networks
How can we generate realistic networks? In addition, how can we do so with a mathematically tractable model that allows for rigorous analysis of network properties? Real networks ...
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinb...
JMLR
2010
227views more  JMLR 2010»
13 years 11 months ago
PyBrain
PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easyto-use yet still powerful algorithms for machine learning tasks, including a vari...
Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, M...
JMLR
2010
155views more  JMLR 2010»
13 years 11 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...
JMLR
2010
94views more  JMLR 2010»
13 years 11 months ago
A Rotation Test to Verify Latent Structure
We consider here how to tell whether a latent variable that has been estimated in a multivariate regression context might be real. Often a followup investigation will find a real...
Patrick O. Perry, Art B. Owen
JMLR
2010
108views more  JMLR 2010»
13 years 11 months ago
Second-Order Bilinear Discriminant Analysis
Traditional analysis methods for single-trial classification of electro-encephalography (EEG) focus on two types of paradigms: phase-locked methods, in which the amplitude of the...
Christoforos Christoforou, Robert M. Haralick, Pau...
JMLR
2010
66views more  JMLR 2010»
13 years 11 months ago
Model Selection: Beyond the Bayesian/Frequentist Divide
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
JMLR
2010
129views more  JMLR 2010»
13 years 11 months ago
On Finding Predictors for Arbitrary Families of Processes
The problem is sequence prediction in the following setting. A sequence x1, . . . , xn, . . . of discrete-valued observations is generated according to some unknown probabilistic ...
Daniil Ryabko