D-Confidence: An Active Learning Strategy which Efficiently Identifies Small Classes (original) (raw)

D-Confidence: An active learning strategy to reduce label disclosure complexity in the presence of imbalanced class distributions

Alipio Jorge

Journal of the Brazilian Computer Society, 2012

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Reducing label complexity in the presence of imbalanced class distributions

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Alireza Ghasemi

2011 IEEE 11th International Conference on Data Mining Workshops, 2011

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2020 25th International Conference on Pattern Recognition (ICPR)

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Dan Roth

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Etienne Brangbour

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CS 269 : Machine Learning Theory Lecture 17 : Learning from Labeled and Unlabeled Data November 22 , 2010

Ryan R Rosario

2010

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Active Class Selection

Rachel Lomasky

Lecture Notes in Computer Science, 2007

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Learning from labeled and unlabeled data using a minimal number of queries

Heinrich Bülthoff

IEEE Transactions on Neural Networks, 2003

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Paolo Rosso

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Journal of Machine Learning Research 15 (2014) 0-0 Submitted 7/14; Published 0/00 Targeting Optimal Active Learning via Example Quality

Christoforos Anagnostopoulos

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Efficient coverage of case space with active learning

Nuno Escudeiro

Progress in Artificial Intelligence, 2009

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Balancing Exploration and Exploitation: A novel active learner for imbalanced data

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Working Notes of the AAAI 1996 Spring Symposium …, 1996

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Ishwar Sethi

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000

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An active learning based classification strategy for the minority class problem: application to histopathology annotation

Anant Madabhushi

BMC Bioinformatics, 2011

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A comparison of models for cost-sensitive active learning

Udo Hahn

Proceedings of the 23rd International Conference on Computational Linguistics Posters, 2010

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Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning

Timothy Hospedales

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Support vector machine active learning with applications to text classification

Simon Tong

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Worst-case analysis of selective sampling for linear classification

Claudio Gentile

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Toward Optimal Active Learning through Sampling Estimation of Error Reduction

Andrew McCallum

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Transductive confidence machine for active learning

Shen-shyang Ho

Proceedings of the International Joint Conference on Neural Networks, 2003., 2003

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