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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
14 years 11 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
EWCBR
2000
Springer
15 years 1 months ago
Active Delivery for Lessons Learned Systems
Lessons learned processes, and software systems that support them, have been developed by many organizations (e.g., all USA military branches, NASA, several Department of Energy or...
Rosina Weber, David W. Aha, Héctor Mu&ntild...
INTERACT
2007
14 years 11 months ago
PaperCP: Exploring the Integration of Physical and Digital Affordances for Active Learning
Active Learning in the classroom domain presents an interesting case for integrating physical and digital affordances. Traditional physical handouts and transparencies are giving w...
Chunyuan Liao, François Guimbretière...
INTERSPEECH
2010
14 years 4 months ago
Memory-based active learning for French broadcast news
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Frédéric Tantini, Christophe Cerisar...
TASLP
2010
144views more  TASLP 2010»
14 years 4 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...