Training connectionist networks with queries and selective sampling

Selecting optimal experiments for multiple output multilayer perceptrons

Neural Computation

Selective Sampling Using the Query by Committee Algorithm

Machine Learning

Active learning using adaptive resampling

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Query by Committee, Linear Separation and Random Walks

EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory

Convergence and Application of Online Active Sampling Using Orthogonal Pillar Vectors

IEEE Transactions on Pattern Analysis and Machine Intelligence

Fast Kernel Classifiers with Online and Active Learning

The Journal of Machine Learning Research

Efficient sampling of training set in large and noisy multimedia data

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)

Worst-Case Analysis of Selective Sampling for Linear Classification

The Journal of Machine Learning Research

Boosting and other ensemble methods

Neural Computation

Semi-supervised approach to rapid and reliable labeling of large data sets

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Comparison of approaches for estimating reliability of individual regression predictions

Data & Knowledge Engineering

Data preparation for sample-based face detection

International Journal of Computer Applications in Technology

An overview of advances in reliability estimation of individual predictions in machine learning

Intelligent Data Analysis

Robust bounds for classification via selective sampling

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Efficient human computation: the distributed labeling problem

Proceedings of the ACM SIGKDD Workshop on Human Computation

Active learning with statistical models

Journal of Artificial Intelligence Research

Review:

The Knowledge Engineering Review

On the Foundations of Noise-free Selective Classification

The Journal of Machine Learning Research

d-Confidence: an active learning strategy which efficiently identifies small classes

ALNLP '10 Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing

An active learning algorithm for ranking from pairwise preferences with an almost optimal query complexity

The Journal of Machine Learning Research

Active learning via perfect selective classification

The Journal of Machine Learning Research

Adaptive Selective Learning for automatic identification of sub-kilometer craters

Neurocomputing

Inconsistency-based active learning for support vector machines

Pattern Recognition

Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS

Information Sciences: an International Journal

Selective sampling and active learning from single and multiple teachers

The Journal of Machine Learning Research

Cost-sensitive active learning for computer-assisted translation

Pattern Recognition Letters