Neural Networks and Related Methods for Classification

C4.5: Programs for Machine Learning

1992 • 24,077 citations

Classification and Regression Trees.

1984 • 23,117 citations

Multilayer feedforward networks are universal approximators

1989 • 18,606 citations

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

1988 • 17,362 citations

THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

1936 • 14,013 citations

Untitled

1986 • 13,981 citations

Pattern classification and scene analysis

1973 • 12,976 citations

Approximation by superpositions of a sigmoidal function

1989 • 12,384 citations

Induction of decision trees

1986 • 11,428 citations

Introduction to Statistical Pattern Recognition

1990 • 11,327 citations

Multilayer feedforward networks are universal approximators

1989 • 9,696 citations

Generalized Additive Models.

1991 • 8,555 citations

Multivariate Adaptive Regression Splines

1991 • 7,851 citations

The self-organizing map

1990 • 7,817 citations

Generalized Additive Models.

1991 • 7,655 citations

Introduction to the theory of neural computation

1994 • 6,598 citations

Practical Methods of Optimization

2009 • 6,596 citations

Practical methods of optimization

1988 • 5,995 citations

Statistical and structural approaches to texture

1979 • 5,691 citations

A theory of the learnable

1984 • 4,471 citations

A general regression neural network

1991 • 4,265 citations

Adaptive Mixtures of Local Experts

1991 • 4,228 citations

Fast Learning in Networks of Locally-Tuned Processing Units

1989 • 4,222 citations

Practical optimization

1982 • 4,208 citations

On the approximate realization of continuous mappings by neural networks

1989 • 4,187 citations

Introduction to statistical pattern recognition (2nd ed.)

1990 • 3,852 citations

Universal Approximation Using Radial-Basis-Function Networks

1991 • 3,828 citations

Probabilistic neural networks

1990 • 3,744 citations

Untitled

1992 • 3,557 citations

Spline Models for Observational Data

1990 • 3,507 citations

Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks

1988 • 3,440 citations

Neural Networks and the Bias/Variance Dilemma

1992 • 3,412 citations

Networks for approximation and learning

1990 • 3,298 citations

Advances in neural information processing systems 1

1989 • 3,021 citations

Pattern recognition : a statistical approach

1982 • 3,005 citations

Pattern Classification and Scene Analysis.

1974 • 2,845 citations

Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex

1982 • 2,824 citations

Discriminant Analysis and Statistical Pattern Recognition.

1993 • 2,760 citations

A Practical Bayesian Framework for Backpropagation Networks

1992 • 2,757 citations

Applied nonparametric regression

1991 • 2,751 citations

Universal approximation bounds for superpositions of a sigmoidal function

1993 • 2,713 citations

Hierarchical Mixtures of Experts and the EM Algorithm

1994 • 2,520 citations

The Cascade-Correlation Learning Architecture

1989 • 2,441 citations

Estimation of Dependences Based on Empirical Data

2006 • 2,270 citations

Regularized Discriminant Analysis

1989 • 2,224 citations

Gaussian networks for direct adaptive control

1992 • 2,139 citations

Applied Nonparametric Regression

1990 • 2,107 citations

Projection Pursuit Regression

1981 • 2,099 citations

Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation

1983 • 2,096 citations

Modeling Brain Function

1989 • 2,025 citations

Hypothesis testing when a nuisance parameter is present only under the alternative

1987 • 2,016 citations

Graphical Models in Applied Multivariate Statistics

1991 • 1,927 citations

Advances in Neural Information Processing Systems 5

1993 • 1,861 citations

Learnability and the Vapnik-Chervonenkis dimension

1989 • 1,855 citations

UCI Repository of Machine Learning Databases

1994 • 1,832 citations

Differential-Geometrical Methods in Statistics

1985 • 1,665 citations

What Size Net Gives Valid Generalization?

1989 • 1,555 citations

A Comparative Study of Texture Measures for Terrain Classification

1976 • 1,530 citations

Optimal unsupervised learning in a single-layer linear feedforward neural network

1989 • 1,512 citations

Self-organization in a perceptual network

1988 • 1,489 citations

Optimal Global Rates of Convergence for Nonparametric Regression

1982 • 1,456 citations

On a Measure of the Information Provided by an Experiment

1956 • 1,437 citations

Time Series Prediction: Forecasting The Future And Understanding The Past

1993 • 1,404 citations

Connectionist learning procedures

1989 • 1,388 citations

Introduction to the Theory of Neural Computation

1994 • 1,351 citations

Radial basis functions for multivariable interpolation: a review

1987 • 1,170 citations

Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition

1990 • 1,143 citations

Analysis of hidden units in a layered network trained to classify sonar targets

1988 • 1,120 citations

Expert systems in the micro-electronic age

1979 • 1,106 citations

Learning Efficient Classification Procedures and Their Application to Chess End Games

1983 • 1,071 citations

Neural Networks: A Review from a Statistical Perspective

1994 • 1,070 citations

Discriminant Analysis and Statistical Pattern Recognition

1992 • 1,056 citations

Learning in Artificial Neural Networks: A Statistical Perspective

1989 • 927 citations

Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems

1991 • 916 citations

Feature discovery by competitive learning

1985 • 907 citations

Decision theoretic generalizations of the PAC model for neural net and other learning applications

1992 • 897 citations

Networks and the best approximation property

1990 • 893 citations

Neural Networks for Control

1991 • 873 citations

Penalized Discriminant Analysis

1995 • 856 citations

Time series prediction: Forecasting the future and understanding the past

1994 • 844 citations

NEURAL NETWORKS, PRINCIPAL COMPONENTS, AND SUBSPACES

1989 • 838 citations

Statistical Prediction Analysis

1975 • 829 citations

Pattern classification using neural networks

1989 • 813 citations

Flexible Discriminant Analysis by Optimal Scoring

1994 • 748 citations

Kolmogorov's theorem and multilayer neural networks

1992 • 718 citations

Bayesian Analysis in Expert Systems

1993 • 704 citations

On the Handling of Continuous-Valued Attributes in Decision Tree Generation

1992 • 682 citations

Modeling Brain Function

1989 • 647 citations

Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification

1990 • 581 citations

Smoothing Techniques : With Implementation in S

2011 • 578 citations

Tree-Based Models

2017 • 571 citations

Probability Approximations via the Poisson Clumping Heuristic

1989 • 571 citations

On the training of radial basis function classifiers

1992 • 568 citations

Neural network learning and expert systems

1993 • 543 citations

Forming sparse representations by local anti-Hebbian learning

1990 • 541 citations

Neural Networks

1990 • 534 citations

Decision trees and decision-making

1990 • 533 citations

Sum and Difference Histograms for Texture Classification

1986 • 525 citations

Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition

1987 • 517 citations

Estimation and Inference by Compact Coding

1987 • 511 citations

Statistical aspects of neural networks

1993 • 499 citations

Self-organizing neural network that discovers surfaces in random-dot stereograms

1992 • 489 citations

A Simple Lemma on Greedy Approximation in Hilbert Space and Convergence Rates for Projection Pursuit Regression and Neural Network Training

1992 • 476 citations

Approximation and estimation bounds for artificial neural networks

1991 • 457 citations

Artificial Neural Networks: Approximation and Learning Theory

1992 • 454 citations

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

1991 • 432 citations

Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models

1989 • 428 citations

Optimal pruning with applications to tree-structured source coding and modeling

1989 • 419 citations

Neural Network Learning and Expert Systems

1993 • 417 citations

Improving the convergence of the back-propagation algorithm

1992 • 415 citations

Flexible Parsimonious Smoothing and Additive Modeling

1989 • 403 citations

Learning classification trees

1992 • 397 citations

Application of a General Learning Algorithm to the Control of Robotic Manipulators

1987 • 379 citations

Bayesian Back-Propagation.

1991 • 371 citations

Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters

1989 • 367 citations

On the handling of continuous-valued attributes in decision tree generation

1992 • 351 citations

Smoothing Techniques

1991 • 325 citations

Measurement, Regression, and Calibration

1996 • 325 citations

Inference about the intersection in two-phase regression

1969 • 318 citations

Improving the Generalization Properties of Radial Basis Function Neural Networks

1991 • 316 citations

Comparison of Discrimination Techniques Applied to a Complex Data Set of Head Injured Patients

1981 • 303 citations

Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network

1992 • 294 citations

Entropy nets: from decision trees to neural networks

1990 • 289 citations

Tree-Structured Classification via Generalized Discriminant Analysis

1988 • 288 citations

Neurocomputing : algorithms, architectures and applications

1990 • 267 citations

Developments in Maximum Entropy Data Analysis

1989 • 250 citations

Using radial basis functions to approximate a function and its error bounds

1992 • 250 citations

Binary Regression Models for Contaminated Data

1988 • 243 citations

Optimal partitioning for classification and regression trees

1991 • 239 citations

On the Interpretation of Regression Plots

1994 • 233 citations

Resistant Fits for Some Commonly Used Logistic Models with Medical Applications

1982 • 230 citations

Regression modeling in backpropagation and projection pursuit learning

1994 • 230 citations

An iterative growing and pruning algorithm for classification tree design

1991 • 229 citations

Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing

1990 • 228 citations

Density Estimation with Confidence Sets Exemplified by Superclusters and Voids in the Galaxies

1990 • 224 citations

Recursive Stochastic Algorithms for Global Optimization in $\mathbb{R}^d $

1991 • 221 citations

Improving model selection by nonconvergent methods

1993 • 221 citations

Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions

1992 • 220 citations

Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.

1992 • 216 citations

Accelerated learning in layered neural networks

1988 • 216 citations

Stochastic Complexity

1987 • 214 citations

Kernel Discriminant Analysis.

1983 • 209 citations

A multivariate study of variation in two species of rock crab of the genus Leptograpsus

1974 • 208 citations

Neural Network Design and the Complexity of Learning

1990 • 199 citations

A neural network approach to statistical pattern classification by 'semiparametric' estimation of probability density functions

1991 • 195 citations

Artificial Neural Networks

1992 • 190 citations

On a Conjecture of Huber Concerning the Convergence of Projection Pursuit Regression

1987 • 189 citations

A Probabilistic Resource Allocating Network for Novelty Detection

1994 • 184 citations

On Robustness in the Logistic Regression Model

1993 • 182 citations

Fast training algorithms for multilayer neural nets

1991 • 180 citations

Bayesian Learning via Stochastic Dynamics

1992 • 176 citations

Modelling Complexity: Applications of Gibbs Sampling in Medicine

1993 • 173 citations

7 Logistic discrimination

1982 • 152 citations

On Nonlinear Functions of Linear Combinations

1984 • 151 citations

Classification trees with neural network feature extraction

1992 • 148 citations

Asymptotic Global Behavior for Stochastic Approximation and Diffusions with Slowly Decreasing Noise Effects: Global Minimization via Monte Carlo

1987 • 147 citations

Constructive approximations for neural networks by sigmoidal functions

1990 • 147 citations

Exact Calculation of the Hessian Matrix for the Multilayer Perceptron

1992 • 145 citations

The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning

1989 • 142 citations

Projection-Based Approximation and a Duality with Kernel Methods

1989 • 138 citations

Diagnosis using backpropagation neural networks—analysis and criticism

1990 • 138 citations

Statistical Theory of Learning Curves under Entropic Loss Criterion

1993 • 136 citations

Extensions to the CART algorithm

1989 • 132 citations

On Consistent Nonparametric Order Determination and Chaos

1992 • 128 citations

Neural networks: Forecasting breakthrough or passing fad?

1993 • 113 citations

Partial Separation in Logistic Discrimination

1989 • 113 citations

Kernel Discriminant Analysis.

1983 • 112 citations

Convergence analysis of local feature extraction algorithms

1992 • 104 citations

Computing second derivatives in feed-forward networks: a review

1994 • 103 citations

The ∏ Method for Estimating Multivariate Functions from Noisy Data

1991 • 103 citations

UNSUPERVISED LEARNING PROCEDURES FOR NEURAL NETWORKS

1991 • 95 citations

Curvature-driven smoothing: a learning algorithm for feedforward networks

1993 • 92 citations

Recursive Partition: A Versatile Method for Exploratory-Data Analysis in Biostatistics

1987 • 91 citations

Multicollinearity: A tale of two nonparametric regressions

1994 • 87 citations

Finiteness results for sigmoidal “neural” networks

1993 • 72 citations

Algorithms for approximation

1987 • 71 citations

Shrunken Estimators in Discriminant and Canonical Variate Analysis

1980 • 69 citations

How Tight Are the Vapnik-Chervonenkis Bounds?

1992 • 69 citations

The Perceptron Algorithm is Fast for Nonmalicious Distributions

1990 • 68 citations

On Hotelling's Approach to Testing for a Nonlinear Parameter in Regression

1989 • 61 citations

Determination of the Authenticity of Orange Juice by Discriminant Analysis of near Infrared Spectra

1993 • 59 citations

Hierarchical vector quantisation

1989 • 51 citations

On nonparametric discrimination using density differences

1988 • 49 citations

SUPERVISED LEARNING ON LARGE REDUNDANT TRAINING SETS

1993 • 48 citations

Artificial neural networks and statistical pattern recognition

1992 • 45 citations

On Overfitting Avoidance as Bias

1993 • 40 citations

Decision tree performance enhancement using an artificial neural network implementation1 1This work was supported in part by NSF grant IRI-9002087

1991 • 32 citations

Recent Advances in Numerical Techniques for Large-Scale Optimization

1991 • 31 citations

Comparative Performance of Classification Methods for Fingerprints | NIST

1993 • 27 citations

Principles, practice and performance in decision-making in clinical medicine

1975 • 27 citations

A note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification

1977 • 23 citations

On the Use of Evidence in Neural Networks

1993 • 21 citations

A FAST PROCEDURE FOR RETRAINING THE MULTILAYER PERCEPTRON

1991 • 21 citations

Mathematical methods of neurocomputing

1993 • 18 citations

On Tree Structured Classifiers

1991 • 17 citations

Projection pursuit learning networks for regression

1992 • 17 citations

Quantifying Generalization in Linearly Weighted Neural Networks.

1994 • 16 citations

Maximum likelihood training of connectionist models: comparison with least squares back-propagation and logistic regression.

1991 • 16 citations

What Bayes has to Say about the Evidence Procedure

1996 • 15 citations

Recursive Order Estimation of Autoregressions Without Bounding the Model Set

1991 • 11 citations

Discovering High Order Features with Mean Field Modules

1989 • 9 citations

A Comparison of Projection Pursuit and Neural Network Regression Modeling

1991 • 8 citations

Automated Sleep EEg Analysis using an RBF Network

1995 • 8 citations

Some Approximation Properties of Projection Pursuit Learning Networks

1991 • 5 citations

Model selection for infinite variance time series

1995 • 4 citations

ON THE DESIGN OF A TREE CLASSIFIER AND ITS APPLICATON TO SPEECH RECOGNITION

1991 • 1 citations