2665 search results - page 164 / 533 » Bundle Methods for Machine Learning |
125
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
121
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
126
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
103
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
We present a novel approach to embedding data represented by a network into a lowdimensional Euclidean space. Unlike existing methods, the proposed method attempts to minimize an ...
114
Voted
ECML
2004
Springer
15 years 7 months ago
2004
Springer
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...