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  • Prediction of lung cancer patient survival via supervised ...

    2017-12-01  Prediction models for breast cancer survivability using a large dataset were developed in applying two popular data mining algorithms, artificial neural networks and Decision Trees, as well as a commonly used statistical method, logistic regression. Ten-fold cross-validation methods were employed to measure the unbiased estimate of the three prediction models for performance comparison ...

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  • An Improved Support Vector Machine Classifier Using ...

    An Improved Support Vector Machine Classifier Using AdaBoost and Genetic Algorithmic Approach towards Web Interaction Mining B. Kaviyarasu Research Scholar, PG and Research Department of Computer Computer Applications, Hindusthan College of Arts and Science, Coimbatore ± 38. Email: [email protected] Dr. A. V. Senthil Kumar Director, PG and Research Department of

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    Canaan, a maker of equipment for the mining of bitcoin, announced on Tuesday its board of directors has approved a share repurchase program of up to $10 million, or about 3.3% of outstanding shares.

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    2020-10-02  Ms. Gardemal currently serves as Managing Director and current owner of BK Associates, Inc. Ms. Gardemal specializes in intangible asset valuations, tangible valuations, business valuations ...

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    China Sf Series Ore Flotation Machine for Mining Plant, Find details about China Mining Equipment, Mining Flotation Cell from Sf Series Ore Flotation Machine for Mining Plant - Jiangxi Victor International Mining Equipment Co., Ltd.

  • Orange Data Mining - Getting started

    Introduction to the Orange data mining software. Learn about the development of Orange workflows, data loading, basic machine learning algorithms and interactive visualizations. Video tutorials are available in button below. YouTube tutorials Workflow examples Software Orange includes a wide array of workflow templates designed to help you get familiar with the application. Pick Templates on ...

  • How digital innovation can improve mining productivity ...

    The global mining industry is under pressure. In the short term, falling commodity prices are squeezing cash flow. Looking ahead, many existing mines are maturing, resulting in the extraction of lower ore grades and longer haul distances from the mine face; ore-body-replacement rates are in decline; and new-mine-development times are increasing. On top of this, worldwide mining operations are ...

  • Orange Data Mining - Getting started

    Introduction to the Orange data mining software. Learn about the development of Orange workflows, data loading, basic machine learning algorithms and interactive visualizations. Video tutorials are available in button below. YouTube tutorials Workflow examples Software Orange includes a wide array of workflow templates designed to help you get familiar with the application. Pick Templates on ...

  • Applications of Machine Learning in Real-Life Digital ...

    Methods: We searched the PubMed and Scopus bibliographic databases with terms related to machine learning, to identify real-life studies of digital health interventions incorporating machine learning algorithms. We grouped those interventions according to their target (ie, target condition), study design, number of enrolled participants, follow-up duration, primary outcome and whether this had ...

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    Mako Mining Corp. Mako Mining Corp. is a publicly listed gold mining, development and exploration firm. The Company is developing its high-grade San Albino gold project in Nueva Segovia, Nicaragua.

  • Fokus Mining Corporation Announces Closing of $1,000,000 ...

    ROUYN-NORANDA, QC, Sept. 1, 2020 /CNW Telbec/ - Fokus Mining Corporation (TSXV: FKM) (FRA: F7E1), formerly Fieldex Exploration Inc. ("Fokus") is pleased to announce that it has held a closing of ...

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    Mining boom. In 1876, a whaler called Harry Trim discovered iron ore, and mining began in earnest. Iron mines were explored and floated in 1876, with Premier Amor de Cosmos being involved in a land and mine scandal. The iron was used off and on—some going into Seattle built battleships, the USS Oregon, for the Great White Fleet; gold mining was also important. Copper was discovered at Van ...

  • Microsoft’s AI for Accessibility grant winners: ‘You want ...

    2019-05-15  The device, which is now undergoing testing, can help improve communication for people with other neuromuscular disabilities, including multiple sclerosis, Ang says. He wants it to be made widely available, around the world, at a low cost, and easy to purchase online. He believes his mother, who died in 2015, would be proud of the work he and his team have done.

  • Boosting and AdaBoost for Machine Learning

    2020-08-15  Boosting is an ensemble technique that attempts to create a strong classifier from a number of weak classifiers. In this post you will discover the AdaBoost Ensemble method for machine learning. After reading this post, you will know: What the boosting ensemble method is and generally how it works. How to learn to boost decision trees using the AdaBoost algorithm.

  • Decision Trees, Random Forests, AdaBoost XGBoost in ...

    Confidently practice, discuss and understand Machine Learning concepts. Decision Trees, Random Forests, AdaBoost XGBoost in Python Description. Save How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. If you are a business manager or an executive, or a student who wants to learn and apply ...

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    a road-building machine as defined in Regulation 398/16 (e.g. bulldozers, graders, low-speed street sweepers, etc.) a vehicle that requires a Commercial Vehicle Operator’s Registration (CVOR) (e.g. trucks with a registered or actual weight greater than 4,500 kg or buses with a designed seating capacity of more than 10 passengers.)

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    2019-08-09  For our interests in machine learning, we will focus on the Cholesky decomposition for real-valued matrices and ignore the cases when working with complex numbers. The decomposition is defined as follows: 1. A = L . L^T. Or without the dot notation: 1. A = LL^T. Where A is the matrix being decomposed, L is the lower triangular matrix and L^T is the transpose of L. The decompose can also

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    2020-09-07  Researchers said that their model identifies misogynistic content with 75% accuracy, and that it could be used in other contexts like racism, homophobia, or abuse towards people with disabilities.

  • What is an Algorithm? - Definition from Techopedia

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  • Decision Trees, Random Forests, AdaBoost XGBoost in ...

    Confidently practice, discuss and understand Machine Learning concepts. Decision Trees, Random Forests, AdaBoost XGBoost in Python Description. Save How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. If you are a business manager or an executive, or a student who wants to learn and apply ...

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  • Mine Permitting - Province of British Columbia

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  • Mining Facts - The Mining Association of Canada

    Proportionally, the mining industry is the largest private sector employer of Indigenous peoples and provided over 16,600 jobs to community members in 2018. Richly endowed with natural resources, Canada ranks among the top five countries in the global production of 15 minerals and metals , many of which are integral to the low carbon technology needed for a greener future.

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    Our machines are built to handle any job with the fuel efficiency you need to boost your bottom line. Trust the support of our Global Dealer Network, which can help you with parts, service and guidance — any time you need it. And if it ever comes time to sell, our machines retain their value so you get top dollar in trade and resale. Explore ...

  • Mining Facts - The Mining Association of Canada

    Proportionally, the mining industry is the largest private sector employer of Indigenous peoples and provided over 16,600 jobs to community members in 2018. Richly endowed with natural resources, Canada ranks among the top five countries in the global production of 15 minerals and metals , many of which are integral to the low carbon technology needed for a greener future.

  • Mining Job Description Career Trend

    2019-09-03  Job duties in the mining industry usually depend on the particular segment: oil and gas, metal ores, nonmetallic mineral mining (quarrying) and mining support. For example, coal miners can work in deep coal mines or on surface mining areas, where they are responsible for extracting coal, bringing it to the surface and transporting it to the buyers. Oil and petroleum workers may work on

  • Mine Permitting - Province of British Columbia

    Major Mine Permitting. Proposed major mines, major expansions or upgrades to existing mines, and some large-scale exploration or development projects require approval under the Mines Act as per part 10.1 of the Health, Safety and Reclamation Code for Mines in British Columbia.The Major Mines Office (MMO) brings clear accountability to both industry and government to ensure timely, high-quality ...

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    On Campus supports adults with developmental disabilities to obtain full inclusion in all aspects of university life, including classes, clubs, associations, sports, recreation, volunteering, employment and social pursuits. Learn More. International Student Services. Coming to UAlberta from abroad? We can help you with applying for visas, study permits and more. More Information. First Nations ...

  • ScholarSpace at University of Hawaii at Manoa: The Impact ...

    In this paper we report on a quantitative study that applies machine learning algorithms to extract textual and visual content features from Instagram posts, along with creator- and context-related variables, and to statistically model their influence on user engagement. Our findings can guide marketing and social media professionals in creating engaging content that communicates more ...

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  • Boosting Algorithm Boosting Algorithms in Machine Learning

    2015-11-09  You can tune the parameters to optimize the performance of algorithms, I’ve mentioned below the key parameters for tuning: n_estimators: It controls the number of weak learners. learning_rate: C ontrols the contribution of weak learners in the final combination. There is a trade-off between learning_rate and n_estimators.; base_estimators: It helps to specify different ML algorithm.

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