Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...
The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
Abstract: Adversarial training (AT) is widely considered the state-of-the-art technique for improving the robustness of deep neural networks (DNNs) against adversarial examples (AEs). Nevertheless, ...
Congressional investigators collected a stunning 30 million lines of phone data mapping contacts between conservatives and the Trump White House in the name of investigating the Jan. 6 Capitol breach, ...
Albom's new novel, Twice, asks a question most of us have daydreamed about: what if you could go back and relive any moment of your life? In the book, a man is born with that exact power, but every ...
They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...
Analysis and insights for driving a rapid transition to net-zero while building resilience to physical climate impacts ...
TikTok users speak almost reverently about the how the app’s algorithm recommends videos that are so eerily aligned with their tastes, it’s hard to put the app down. The consequence of that ...
Mr. Witt is the author of “The Radical Fund: How a Band of Visionaries and a Million Dollars Upended America.” As democracy in the United States spirals into a widening gyre of distrust, demagogy and ...
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