Sciweavers

92
Voted
NIPS
2000
15 years 2 months ago
Ensemble Learning and Linear Response Theory for ICA
We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
Pedro A. d. F. R. Højen-Sørensen, Ol...
NIPS
2000
15 years 2 months ago
Hierarchical Memory-Based Reinforcement Learning
Natalia Hernandez-Gardiol, Sridhar Mahadevan
53
Voted
NIPS
2000
15 years 2 months ago
Large Scale Bayes Point Machines
Ralf Herbrich, Thore Graepel
82
Voted
NIPS
2000
15 years 2 months ago
A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work
We investigate how the normalization of vectors influences the result of SVMs. 1 Normalization For the theoretical background, please refer to [1]. 2 Experiments We empirically co...
Ralf Herbrich, Thore Graepel
74
Voted
NIPS
2000
15 years 2 months ago
Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra
A system has been developed to extract diagnostic information from jet engine carcass vibration data. Support Vector Machines applied to novelty detection provide a measure of how...
Paul Hayton, Bernhard Schölkopf, Lionel Taras...
107
Voted
NIPS
2000
15 years 2 months ago
From Margin to Sparsity
We present an improvement of Noviko 's perceptron convergence theorem. Reinterpreting this mistakebound as a margindependent sparsity guarantee allows us to give a PAC{style ...
Thore Graepel, Ralf Herbrich, Robert C. Williamson
65
Voted
NIPS
2000
15 years 2 months ago
Propagation Algorithms for Variational Bayesian Learning
Zoubin Ghahramani, Matthew J. Beal
NIPS
2000
15 years 2 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile