Abstract: Class imbalance in tabular data is a common problem in machine learning that can reduce the performance of classification models due to the model’s tendency to ignore minority classes. To ...
Abstract: Existing methods of compressed multimedia data processing in deep networks are constrained by inherent trade-offs such as low reconstruction accuracy, compression ratio, and high ...
This repository hosts Python/Octave/Matlab code of the Preconditioned ICA for Real Data (Picard) and Picard-O algorithms. See the documentation. Picard is an algorithm for maximum likelihood ...
Sajal works at Kyndryl, advises startups, ex-Innovation Expert for UN Compact and member, EU Commission's Apply AI Alliance. The AI industry is bound to face a paradox. Synthetic data can democratize ...
NEW YORK--(BUSINESS WIRE)--Lucend today announced that it is bringing its transparent data center optimization to the U.S. market, helping enterprises illuminate complex operational environments and ...
Lucend today announced that it is bringing its transparent data center optimization to the U.S. market, helping enterprises illuminate complex operational environments and empowering data center ...
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