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International Mining and Dredging Holdings Ltd ("IMDH" or the "Group") consists of a group of companies actively involved in Offshore Mining projects and Exploration, including, but not limited to, Geophysical, Geotechnical and Geological Sampling Surveys (together with Research and Development of Sampling Equipment) and Dredging activities predominantly in African countries.
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Nov 13, 2018 · Recently, machine learning techniques have gained increasing attention in many research areas including timetoevent data analysis. Among them, the use of datadriven ensemble methods for covariate selection and prediction in right censored survival data have been suggested by several authors [17–20].
Vipin Kumar is a Regents Professor at the University of Minnesota, where he holds the William Norris Endowed Chair in the Department of Computer Science and Engineering. Kumar received the degree in Electronics Communiion Engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977, the ...
Feb 01, 2021 · This study applies reinforcement learning (RL) from the AI machine learning field to derive an optimal Bitcoin‐like blockchain mining strategy. A salient feature of the RL learning framework is that an optimal (or near‐optimal) strategy can be obtained without .
Jun 24, 2019 · Results. It was indied that the randomforest time series model outperformed other three methods in modeling weekly ILI frequencies (RMSE =, MAE = and ICC = for the test set). In addition neuralnetwork was better in outbreaks detection with total accuracy of .
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Aug 05, 2019 · author= {C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Saurabh Nagrecha and Keegan Hines}, booktitle= {Proceedings of the 15th International Workshop on Mining and Learning with Graphs (MLG)}, year= {2019} } Endtoend learning and optimization on graphs PDF.
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3 rd International Conference on Data Mining Machine Learning (DMML 2022) . April 23~24, 2022, Copenhagen, Denmark Scope Topics. 3 rd International Conference on Data Mining Machine Learning (DMML 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning.
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This special issue is focused on presenting new techniques, challenges and solutions using data mining, machine learning and decision support models. Topics of interest are the following ones: Representation of medical knowledge. Data mining and data analytics. Clustering and classifiion. Casebased reasoning in health care.
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