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TCBB
2011
13 years 22 days ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
CVPR
1999
IEEE
14 years 7 months ago
Subset Selection for Active Object Recognition
This paper presents an algorithm for constructing object representations suitable for recognition. The system automatically selects a representative subset of the views of the obj...
Jay Winkeler, B. S. Manjunath, Shivkumar Chandrase...
UAI
2004
13 years 7 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
BMVC
2010
13 years 3 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
13 years 11 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani