Active Sampling for Class Probability Estimation and Ranking

An Introduction to the Bootstrap

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C4.5: Programs for Machine Learning

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An Introduction to the Bootstrap

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Untitled

1996 • 16,093 citations

UCI Repository of machine learning databases

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UCI Repository of Machine Learning Databases

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A sequential algorithm for training text classifiers

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Untitled

1988 • 1,677 citations

Query by committee

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Active learning with statistical models

1996 • 1,422 citations

Untitled

1994 • 1,315 citations

Heterogeneous Uncertainty Sampling for Supervised Learning

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A Sequential Algorithm for Training Text Classifiers

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The Case against Accuracy Estimation for Comparing Induction Algorithms

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Learning Structural Descriptions From Examples

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1997 • 1,007 citations

Untitled

1986 • 961 citations

Toward Optimal Active Learning through Sampling Estimation of Error Reduction

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Experiment with a new boosting algorithm

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Knowledge Discovery and Data Mining

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Estimating probabilities: a crucial task in machine learning

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Query Learning Strategies Using Boosting and Bagging

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A simple, fast, and effective rule learner

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Active Learning with Statistical Models

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Committee-Based Sample Selection for Probabilistic Classifiers

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Tree Induction Vs. Logistic Regression: a Learning-Curve Analysis

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Active learning using adaptive resampling

2000 • 90 citations

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1986 • 41 citations

Simple, fast, and effective rule learner

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Experimental goal regression: A method for learning problem-solving heuristics

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Deleted Work

1955 • 0 citations