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Classification with Costly Features

1 papers with code · Miscellaneous

The task is to classify the dataset with costly features with different budget settings. The final metric is the normalized area under the cost-accuracy curve.

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Greatest papers with code

Classification with Costly Features using Deep Reinforcement Learning

20 Nov 2017jaromiru/cwcf

We study a classification problem where each feature can be acquired for a cost and the goal is to optimize a trade-off between the expected classification error and the feature cost.

CLASSIFICATION WITH COSTLY FEATURES DECISION MAKING Q-LEARNING