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Abstract

References (27)

Classification and Regression Trees.

1984 • 23,117 citations

Classification and Regression Trees.

1986 • 21,574 citations

Untitled

1986 • 13,981 citations

Induction of decision trees

1986 • 11,428 citations

A theory of the learnable

1984 • 4,471 citations

Simplifying decision trees

1987 • 2,458 citations

Untitled

1989 • 2,043 citations

Occam's Razor

1987 • 1,044 citations

The CN2 induction algorithm

1989 • 983 citations

Untitled

1987 • 790 citations

Quantifying inductive bias: AI learning algorithms and Valiant's learning framework

1988 • 507 citations

Generating production rules from decision trees

1987 • 487 citations

An Overview of Machine Learning

1983 • 403 citations

Learning decision lists

1987 • 356 citations

Untitled

1987 • 262 citations

Simplifying decision trees

1999 • 262 citations

AN OVERVIEW OF MACHINE LEARNING

1983 • 181 citations

Concept acquisition through representational adjustment

1987 • 177 citations

Recent Results on Boolean Concept Learning

1987 • 133 citations

Classifier systems and the animat problem

1987 • 130 citations

Duce, an oracle-based approach to constructive induction

1987 • 122 citations

Learning DNF by decision trees

1989 • 108 citations

An Empirical Comparison of Genetic and Decision-Tree Classifiers

1988 • 94 citations

Acquisition of appropriate bias for inductive concept learning

1982 • 55 citations

Cue probabilism and inference behavior.

1964 • 55 citations

Selecting appropriate representations for learning from examples

1986 • 55 citations

Feature construction: an analytic framework and an application to decision trees

1990 • 38 citations

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Untitled (1990) – Machine Learning | Metascience Observatory Explorer