Pakistan: Researchers have found in a new study that machine learning models show strong promise in predicting postoperative complications after laparoscopic cholecystectomy and in accounting for ...
ABSTRACT: In the course of oil and gas exploration, understanding the petrophysical parameters such as reservoir porosity and permeability is crucial for evaluating oil and gas reserves and mining ...
1 Measurement Center of Guangxi Power Grid Co., Ltd., Nanning, China 2 NARI Group (State Grid Electric Power Research Institute) Co., Ltd., Nanning, China In this paper, the maximal information ...
Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...
This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...
ABSTRACT: Data mining is the process of extracting useful information and knowledge from mass data. Through statistics, machine learning, pattern recognition and other technologies, data is analyzed ...
Environmental issues of rainfall are basic in terms of understanding and management of ecosystems and natural resources. The rainfall patterns significantly affect soil moisture, vegetation growth and ...
Abstract: Compare Novel Adaboost Classifier Algorithm and MultiLayer Perceptron to improve accuracy. Materials and Methods: Research groups include Novel Adaboost Classifier Algorithm and MultiLayer ...
Abstract: In the field of oil and gas exploration, accurately predicting lithology during well logging is crucial. This research introduces a novel approach, the Adaboost-Transformer method, which ...
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