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2008-09-30
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2008-05-13
Machine Learning Summer School / Course On The Analysis On Patterns
2007-02-12
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2007-01-30
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Article Reference
Kernel Methods in Machine Learning
2008-11-11
Support Vector Machines and Kernels for Computational Biology
2008-08-04
Upper and lower bounds on the learning curve for Gaussian processes
2008-05-13
Bayesian classification with Gaussian processes
2008-05-13
Computation with infinite neural networks
2008-05-13
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2007-01-31
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2008-05-13
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2008-05-13
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Learning and Soft Computing, Support Vector Machines, Neural Networks and Fuzzy Logic Models
2007-01-31
Learning with Kernels
2007-01-31
Least Squares Support Vector Machines
2007-01-31
Gaussian Processes for Machine Learning
2007-01-31
Estimation of Dependences Based on Empirical Data [in Russian]
2007-01-31
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2007-01-31
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2007-01-31
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Finite-dimensional approximation of Gaussian processes
2008-05-13
Regression with Input-dependent Noise: A Gaussian Process Treatment
2008-05-13
Gaussian regression and optimal finite dimensional linear models
2008-05-13
Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and beyond
2008-05-13
Gaussian processes for regression
2008-05-13
Inproceedings Reference
The Effect of the Input Density Distribution on Kernel-based Classifiers
2008-05-13
Discovering hidden features with Gaussian processes regression
2008-05-13
Computing with infinite networks
2008-05-13
Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo
2008-05-13
The Effect of the Input Density Distribution on Kernel-based Classifiers
2008-05-13
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2007-01-30
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2008-04-15
Support Vector Java Applet
2007-01-31
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2007-01-31
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2007-01-31
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2007-01-31
Mastersthesis Reference
Development of Adaptive, Online Soft Sensors
2007-01-31
Regression Estimation with Support Vector Learning Machines
2007-01-31
Misc Reference
Support Vector Learning
2008-05-13
SVM and Kernel Methods
2008-05-13
ICML'01 Tutorial
2008-05-13
A Short Tutorial on Kernels
2008-05-13
Introduction to Gaussian Processes
2008-05-13
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Call for NIPS 2008 Kernel Learning Workshop Submissions
2008-09-30
Tutorials uploaded
2008-05-13
Machine Learning Summer School / Course On The Analysis On Patterns
2007-02-12
Special Issue of JMLR
2001-01-08
Editorial Board Enlarged
2000-12-22
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Kernel Methods in Machine Learning
2008-11-11
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2008-11-11
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Kernel Models for Large Scale Applications
2007-01-31
Mathematical Programming Approaches to Machine Learning and Data Mining
2007-01-31
Study and Application of Statistical Learning Theory
2007-01-31
Prediction of Generalization Ability in Learning Machines
2007-01-31
Learning with Kernels
2007-01-31
Techreport Reference
Statistical Learning and Kernel Methods
2008-05-13
The Kernel Trick for Distances
2008-05-13
An introduction to model building with reproducing kernel Hilbert spaces
2008-05-13
A Tutorial on Support Vector Regression
2008-05-13
Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction.
2007-01-31
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