Boosted SVM with active learning strategy for imbalanced data

"active Boosted Learning" Active Boosted Learning (actboost)

Active learning deals with the problem of selecting a small subset of examples to label, from a pool of unlabeled data, for training a good classifier. We develop an active learning algorithm in the boosting framework. In contrast to much of the recent efforts, which has focused on selecting the most ambiguous unlabeled example to label based on the current learned classifier, our algorithm sel...

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Active Boosted Learning (ActBoost)

Active learning deals with the problem of selecting a small subset of examples to label, from a pool of unlabeled data, for training a good classifier. We develop an active learning algorithm in the boosting framework. In contrast to much of the recent efforts, which has focused on selecting the most ambiguous unlabeled example to label based on the current learned classifier, our algorithm sel...

متن کامل

Publications " Active Boosted Learning "

Active learning deals with the problem of selecting a small subset of examples to label, from a pool of unlabeled data, for training a good classifier. We develop an active learning algorithm in the boosting framework. In contrast to much of the recent efforts, which has focused on selecting the most ambiguous unlabeled example to label based on the current learned classifier, our algorithm sel...

متن کامل

" Active Boosted Learning "

Active learning deals with the problem of selecting a small subset of examples to label, from a pool of unlabeled data, for training a good classifier. We develop an active learning algorithm in the boosting framework. In contrast to much of the recent efforts, which has focused on selecting the most ambiguous unlabeled example to label based on the current learned classifier, our algorithm sel...

متن کامل

A Regularization Framework For Active Learning From Imbalanced Data

We consider the problem of building a viable multiclass classification system that minimizes training data, is robust to noisy, imbalanced samples, and outputs confidence scores along with its predications. These goals address critical steps along the entire classification pipeline that pertain to collecting data, training, and classifying. To this end, we investigate the merits of a classifica...

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Boosted SVM with active learning strategy for imbalanced data

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منابع مشابه

"active Boosted Learning" Active Boosted Learning (actboost)

Active Boosted Learning (ActBoost)

Publications " Active Boosted Learning "

" Active Boosted Learning "

A Regularization Framework For Active Learning From Imbalanced Data

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