نتایج جستجو برای: cost sensitive learning
تعداد نتایج: 1230363 فیلتر نتایج به سال:
Worldwide, billions of euros are lost every year due to credit card fraud. Increasingly, fraud has diversified to different digital channels, including mobile and online payments, creating new challenges as innovative new fraud patterns emerge. Hence, it remains challenging to find effective methods of mitigating fraud. Existing solutions include simple if-then rules and classical machine learn...
Deep networks for classification are typically trained by maximizing the log likelihood of the training data. However, the conditional probabilities learned in this way are often not well-calibrated and are thus not well-suited for costsensitive learning where making different errors incurs different rewards or penalties. In this paper, we propose to directly train neural networks to optimize a...
Massive regression and forecasting tasks are generally cost-sensitive learning problems with asymmetric costs between over-prediction under-prediction. However, existing classic methods, such as clustering feature selection, subject to difficulties in dealing small datasets. As one of the key challenges, it is difficult statistically validate importance features using traditional algorithms (e....
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