Computer Sciences
Big data sets are full of dirty data, and these outliers, typos and missing values can produce distorted models that lead to wrong conclusions and bad decisions, be it in healthcare or finance. With so much at stake, data ...
Aug 31, 2016
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Computer Sciences
Label distribution learning (LDL) is a new learning paradigm to deal with label ambiguity. Compared with traditional supervised learning scenarios, annotation with label distribution is more expensive. Direct use of existing ...
Sep 5, 2023
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Machine learning & AI
Conformer search continues to be a topic of great interest in computational chemistry, drug design and material science. It is a challenging endeavor due to the high dimensionality of the search space and the computational ...
Apr 1, 2021
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