Discriminative Batch Mode Active Learning

Numerical optimization

2021 • 14,743 citations

A sequential algorithm for training text classifiers

1994 • 1,868 citations

Active learning with statistical models

1996 • 1,422 citations

Untitled

1997 • 1,123 citations

Semi-supervised Learning by Entropy Minimization

2004 • 881 citations

Toward Optimal Active Learning through Sampling Estimation of Error Reduction

2001 • 844 citations

Less is More: Active Learning with Support Vector Machines

2000 • 790 citations

Employing EM and Pool-Based Active Learning for Text Classification

1998 • 674 citations

Active learning using pre-clustering

2004 • 631 citations

Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions

2003 • 480 citations

Incorporating diversity in active learning with support vector machines

2003 • 450 citations

Batch mode active learning and its application to medical image classification

2006 • 427 citations

Kernel Logistic Regression and the Import Vector Machine

2005 • 399 citations

Support Vector Machine Active Learning with Application sto Text Classification

2000 • 379 citations

Query Learning with Large Margin Classifiers

2000 • 354 citations

Active + Semi-supervised Learning = Robust Multi-View Learning

2002 • 282 citations

Large-scale text categorization by batch mode active learning

2006 • 257 citations

A comparison of numerical optimizers for logistic regression

2004 • 237 citations

Representative Sampling for Text Classification Using Support Vector Machines

2003 • 221 citations

An active learning framework for content-based information retrieval

2002 • 208 citations

Optimistic active learning using mutual information

2007 • 163 citations

The Interplay of Optimization and Machine Learning Research

2006 • 135 citations