An introduction to kernel-based learning algorithms

A new look at the statistical model identification

1974 • 46,507 citations

An Introduction to the Bootstrap

1994 • 39,661 citations

The Nature of Statistical Learning Theory

1995 • 38,742 citations

Support-vector networks

1995 • 35,844 citations

Neural Networks: A Comprehensive Foundation

1998 • 30,466 citations

Untitled

1995 • 29,657 citations

Statistical Learning Theory

1999 • 27,709 citations

Neural networks for pattern recognition

1994 • 19,343 citations

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

1997 • 18,426 citations

Untitled

1998 • 16,227 citations

THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

1936 • 14,013 citations

Pattern classification and scene analysis

1973 • 12,976 citations

Nonlinear Programming

1995 • 11,403 citations

A tutorial on support vector regression

2004 • 11,371 citations

Introduction to Statistical Pattern Recognition

1990 • 11,327 citations

A training algorithm for optimal margin classifiers

1992 • 11,054 citations

Backpropagation Applied to Handwritten Zip Code Recognition

1989 • 10,538 citations

Neural Networks for Pattern Recognition

1995 • 10,372 citations

Solutions of Ill-Posed Problems.

1978 • 8,291 citations

Text categorization with Support Vector Machines: Learning with many relevant features

1998 • 7,906 citations

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

1998 • 7,862 citations

Neural networks: A comprehensive foundation

1995 • 6,049 citations

Advances in kernel methods: support vector learning

1999 • 5,756 citations

Fast Training of Support Vector Machines Using Sequential Minimal Optimization

1998 • 5,442 citations

Estimating the Support of a High-Dimensional Distribution

2001 • 5,344 citations

Support vector machines

1998 • 5,337 citations

Pattern Classification and Scene Analysis

1974 • 4,723 citations

A theory of the learnable

1984 • 4,471 citations

Making large scale SVM learning practical

1999 • 4,389 citations

An Introduction to Support Vector Machines

2000 • 4,254 citations

Fast Learning in Networks of Locally-Tuned Processing Units

1989 • 4,222 citations

Introduction to statistical pattern recognition (2nd ed.)

1990 • 3,852 citations

An Introduction to the Bootstrap.

1994 • 3,530 citations

Neural Networks and the Bias/Variance Dilemma

1992 • 3,412 citations

Untitled

1990 • 3,286 citations

A theory of the learnable

1984 • 2,968 citations

New Support Vector Algorithms

2000 • 2,715 citations

Fisher discriminant analysis with kernels

2003 • 2,632 citations

Learning with kernels

2001 • 2,629 citations

Training support vector machines: an application to face detection

2002 • 2,498 citations

Support vector machine classification and validation of cancer tissue samples using microarray expression data

2000 • 2,446 citations

Boosting the margin: a new explanation for the effectiveness of voting methods

1998 • 2,338 citations

Knowledge-based analysis of microarray gene expression data by using support vector machines

2000 • 2,328 citations

Estimation of Dependences Based on Empirical Data

2006 • 2,270 citations

The strength of weak learnability

1990 • 2,267 citations

Regularized Discriminant Analysis

1989 • 2,224 citations

Neural Networks: Tricks of the Trade

2012 • 2,092 citations

XVI. Functions of positive and negative type, and their connection the theory of integral equations

1909 • 1,965 citations

Improvements to Platt's SMO Algorithm for SVM Classifier Design

2001 • 1,766 citations

Support Vector Method for Novelty Detection

1999 • 1,741 citations

Generalized Discriminant Analysis Using a Kernel Approach

2000 • 1,680 citations

Statistical Learning Theory

1999 • 1,645 citations

Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning

1964 • 1,508 citations

Inductive learning algorithms and representations for text categorization

1998 • 1,505 citations

Support vector machines for spam categorization

1999 • 1,441 citations

Improvements on Cross-Validation: The 632+ Bootstrap Method

1997 • 1,355 citations

Untitled

2001 • 1,302 citations

Some results on Tchebycheffian spline functions

1971 • 1,234 citations

A brief introduction to boosting

1999 • 1,230 citations

Input space versus feature space in kernel-based methods

1999 • 1,173 citations

Convolution kernels on discrete structures

1999 • 1,130 citations

ESTScan: a program for detecting, evaluating, and reconstructing potential coding regions in EST sequences.

1999 • 1,090 citations

An improved training algorithm for support vector machines

2002 • 1,058 citations

Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks

1990 • 1,058 citations

Predicting time series with support vector machines

1997 • 940 citations

Principal Component Neural Networks: Theory and Applications

1996 • 900 citations

The Relevance Vector Machine

1999 • 884 citations

Regularized Discriminant Analysis

1989 • 862 citations

Penalized Discriminant Analysis

1995 • 856 citations

Kernel PCA and De-Noising in Feature Spaces

1998 • 852 citations

Robust linear programming discrimination of two linearly inseparable sets

1992 • 762 citations

Estimation of Dependences Based on Empirical Data.

1984 • 721 citations

Support Vector Machines: Training and Applications

1997 • 711 citations

Cryptographic limitations on learning Boolean formulae and finite automata

1994 • 701 citations

Improvements on Cross-Validation: The .632+ Bootstrap Method

1997 • 700 citations

Neural Networks: Tricks of the Trade

1998 • 698 citations

Network information criterion-determining the number of hidden units for an artificial neural network model

1994 • 644 citations

The connection between regularization operators and support vector kernels

1998 • 630 citations

Bounds on Error Expectation for Support Vector Machines

2000 • 617 citations

Sparse Greedy Matrix Approximation for Machine Learning

2000 • 612 citations

Comparison of classifier methods: a case study in handwritten digit recognition

2002 • 608 citations

Comparison of DNA Sequences with Protein Sequences

1997 • 595 citations

Support vector learning

1997 • 580 citations

Comparison of learning algorithms for handwritten digit recognition

1995 • 577 citations

Untitled

2002 • 575 citations

Extracting support data for a given task

1995 • 555 citations

Prediction Games and Arcing Algorithms

1999 • 536 citations

An Equivalence Between Sparse Approximation and Support Vector Machines

1998 • 507 citations

A Discriminative Framework for Detecting Remote Protein Homologies

2000 • 501 citations

Nonlinear prediction of chaotic time series using support vector machines

2002 • 491 citations

Efficient Pattern Recognition Using a New Transformation Distance

1992 • 474 citations

A Theory of Pattern Recognition

1968 • 442 citations

Simplified support vector decision rules

1996 • 441 citations

Boosting the margin: A new explanation for the effectiveness of voting methods

1997 • 439 citations

Theory of Reproducing Kernels and Its Applications

1988 • 434 citations

Engineering support vector machine kernels that recognize translation initiation sites

2000 • 433 citations

The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems

1991 • 432 citations

Learning algorithms for classification: A comparison on handwritten digit recognition

1995 • 377 citations

Pattern Classification: A Unified View of Statistical and Neural Approaches

1997 • 348 citations

Transformation Invariance in Pattern Recognition – Tangent Distance and Tangent Propagation

2012 • 341 citations

Neural network prediction of translation initiation sites in eukaryotes: perspectives for EST and genome analysis.

1997 • 305 citations

Prior Knowledge in Support Vector Kernels

1997 • 294 citations

On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion

1998 • 290 citations

Functional Gradient Techniques for Combining Hypotheses

2000 • 279 citations

Theory of reproducing kernels and its applications

1988 • 258 citations

Dynamic Alignment Kernels

2000 • 252 citations

Mathematical Programming for Data Mining: Formulations and Challenges

1999 • 252 citations

The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines

1998 • 243 citations

Nonlinear Discriminant Analysis Using Kernel Functions

1999 • 229 citations

Support Vector Machines for Dynamic Reconstruction of a Chaotic System

1998 • 222 citations

Improving the accuracy and speed of support vector learning machines

1997 • 217 citations

Transformation Invariance in Pattern Recognition — Tangent Distance and Tangent Propagation

1998 • 214 citations

Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression

2001 • 213 citations

The AdaTron: An Adaptive Perceptron Algorithm

1989 • 212 citations

A Multi-View Nonlinear Active Shape Model Using Kernel PCA

1999 • 212 citations

Asymptotic Analysis of Penalized Likelihood and Related Estimators

1990 • 206 citations

Comparison of view-based object recognition algorithms using realistic 3D models

1996 • 200 citations

BOOSTING PERFORMANCE IN NEURAL NETWORKS

1993 • 187 citations

Pattern Classification: A Unified View of Statistical and Neural Approaches.

1998 • 184 citations

Arbitrary-norm separating plane

1999 • 176 citations

Invariant Feature Extraction and Classification in Kernel Spaces

1999 • 175 citations

Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators

2001 • 174 citations

A PAC analysis of a Bayesian estimator

1997 • 167 citations

A Mathematical Programming Approach to the Kernel Fisher Algorithm

2000 • 163 citations

Generalization performance of Bayes optimal classification algorithm for learning a perceptron

1991 • 149 citations

Sparse Kernel Principal Component Analysis

2000 • 145 citations

Support Vector Machine Reference Manual

1998 • 143 citations

Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines

1993 • 137 citations

Nonlinear programming

2015 • 133 citations

Pattern Classification: A Unified View of Statistical and Neural Approaches

1997 • 128 citations

A method for identifying splice sites and translational start sites in eukaryotic mRNA

1997 • 127 citations

Support Vector Regression with ANOVA Decomposition Kernels

1998 • 125 citations

Support Vector Density Estimation

1998 • 121 citations

Using SVMs for Text Categorization

1998 • 113 citations

The design and analysis of efficient learning algorithms

1992 • 100 citations

View-based 3D object recognition with support vector machines

2003 • 98 citations

A framework for structural risk minimisation

1996 • 79 citations

An Improved Training Algorithm for Kernel Fisher Discriminants

2001 • 73 citations

Sparse Kernel Feature Analysis

2002 • 68 citations

Playing Billiards in Version Space

1997 • 59 citations

Optimal Learning with a Neural Network

1993 • 59 citations

Untitled

2002 • 55 citations

Robust Ensemble Learning

2000 • 46 citations

Bayes Point Machines: Estimating the Bayes Point in Kernel Space

1999 • 46 citations

Commentary—Interior-Point Methods: Algorithms and Formulations

1994 • 44 citations

Small sample statistics for classification error rates I: error rate measurements

1995 • 41 citations

A Column Generation Algorithm For Boosting

2000 • 40 citations

Potential Boosters

1999 • 37 citations

Barrier Boosting

2000 • 34 citations

Kernel-dependent support vector error bounds

1999 • 33 citations

Adaptive Margin Support Vector Machines

2000 • 29 citations

A Geometric Approach to Leveraging Weak Learners

1999 • 25 citations

Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance

2000 • 20 citations

Theorie der Zeichenerkennung

1979 • 20 citations

Large Scale Bayes Point Machines

2000 • 16 citations

Integrating the evidence framework and the support vector machine

1999 • 13 citations

Kernel Methods for Extracting Local Image Semantics

2001 • 13 citations

Optimal hyperplane classifier based on entropy number bound

1999 • 8 citations

Lernen mit Kernen

1999 • 7 citations

On optimal neural network learning

1993 • 6 citations

Deleted Work

1955 • 0 citations