Untitled

An Introduction to the Bootstrap

1994 • 39,661 citations

C4.5: Programs for Machine Learning

1992 • 24,077 citations

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

1997 • 18,426 citations

Untitled

1996 • 16,093 citations

Pattern classification and scene analysis

1973 • 12,976 citations

UCI Repository of machine learning databases

1998 • 10,520 citations

A study of cross-validation and bootstrap for accuracy estimation and model selection

1995 • 9,976 citations

Experiments with a new boosting algorithm

1996 • 7,607 citations

Stacked generalization

1992 • 6,073 citations

Pattern classification and scene analysis

1974 • 3,505 citations

Neural Networks and the Bias/Variance Dilemma

1992 • 3,412 citations

Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

1998 • 3,373 citations

Untitled

1990 • 3,286 citations

Untitled

1997 • 2,981 citations

Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning

1993 • 2,809 citations

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

1998 • 2,338 citations

Untitled

1993 • 1,774 citations

Boosting a Weak Learning Algorithm by Majority

1995 • 1,633 citations

Bagging, boosting, and C4.S

1996 • 1,308 citations

An analysis of Bayesian classifiers

1992 • 1,166 citations

Untitled

1997 • 1,007 citations

Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier.

1996 • 672 citations

Bias plus variance decomposition for zero-one loss functions

1996 • 614 citations

The Estimation of Probabilities: An Essay on Modern Bayesian Methods

1967 • 530 citations

Experiment with a new boosting algorithm

1996 • 499 citations

Estimating probabilities: a crucial task in machine learning

1990 • 469 citations

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

1997 • 439 citations

Learning classification trees

1992 • 397 citations

Induction of One-Level Decision Trees

1992 • 358 citations

Error-Correcting Output Coding Corrects Bias and Variance

1995 • 356 citations

Reducing Misclassification Costs

1994 • 346 citations

The Estimation of Probabilities: An Essay on Modern Bayesian Methods

1965 • 338 citations

A Conservation Law for Generalization Performance

1994 • 338 citations

Data Mining Using MLC a Machine Learning Library in C

1997 • 304 citations

Error-based and entropy-based discretization of continuous features

1996 • 268 citations

The strength of weak learnability

1989 • 265 citations

Feature subset selection using the wrapper method: overfltting and dynamic search space topology

1995 • 262 citations

Wrappers for Performance Enhancements and Oblivious Decision Graphs.

1995 • 260 citations

Boosting Decision Trees

1995 • 234 citations

Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs

2018 • 198 citations

Boosting a weak learning algorithm by majority

1990 • 166 citations

Multiple decision trees

1990 • 141 citations

Computational Learning Theory and Natural Learning Systems

1995 • 134 citations

The Effects of Training Set Size on Decision Tree Complexity

1997 • 116 citations

Learning Symbolic Rules Using Artificial Neural Networks

1993 • 108 citations

Comparing connectionist and symbolic learning methods

1994 • 107 citations

Option Decision Trees with Majority Votes

1997 • 105 citations

Why does bagging work? a Bayesian account and its implications

1997 • 86 citations

Data Mining Using $\mathcal{MLC}++$ a Machine Learning Library in C++

1997 • 83 citations

The Relationship Between PAC, the Statistical Physics Framework, the Bayesian Framework, and the VC Framework

2018 • 77 citations

Interpretable boosted naïve Bayes classification

1998 • 75 citations

On Pruning and Averaging Decision Trees

1995 • 60 citations

Learning probabilistic relational concept descriptions

1996 • 19 citations

Deleted Work

1955 • 0 citations