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1دورية أكاديمية
المؤلفون: Jan Kanty Milczek, Robert Bogucki, Jan Lasek, Michał Tadeusiak
المصدر: Annals of computer science and information systems, Vol 8, Pp 213-220 (2016)
مصطلحات موضوعية: Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2300-5963
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2دورية أكاديمية
المؤلفون: Miroslawa Lasek, Jan Lasek
المصدر: Journal of Engineering, Project, and Production Management, Vol 6, Iss 1, Pp 53-62 (2016)
مصطلحات موضوعية: Behavioral finance, capital market, news items, sentiment, sentiment analysis, Industrial engineering. Management engineering, T55.4-60.8
وصف الملف: electronic resource
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المؤلفون: Marek Gagolewski, Jan Lasek
المصدر: International Journal of Forecasting. 37:1061-1071
مصطلحات موضوعية: Computer science, business.industry, Heuristic, Association (object-oriented programming), 05 social sciences, Single step, Machine learning, computer.software_genre, Set (abstract data type), symbols.namesake, 0502 economics and business, symbols, Ordered logit, Poisson regression, Artificial intelligence, Rating system, 050207 economics, Business and International Management, Gradient descent, business, computer, 050205 econometrics
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المؤلفون: Marek Gagolewski, Jan Lasek
المصدر: Statistical Modelling. 18:411-435
مصطلحات موضوعية: Statistics and Probability, Strengths based, Computer science, 05 social sciences, Tournament design, League, 01 natural sciences, Generalized linear mixed model, Competition (economics), 010104 statistics & probability, Ranking, 0502 economics and business, Econometrics, 050207 economics, 0101 mathematics, Statistics, Probability and Uncertainty
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المؤلفون: Sebastian Mair, Jan Lasek, Ulf Brefeld
المصدر: Brefeld, U, Lasek, J & Mair, S 2019, ' Probabilistic movement models and zones of control ' Machine Learning, vol 108, no. 1, pp. 127-147 . DOI: 10.1007/s10994-018-5725-1
Brefeld, U, Lasek, J & Mair, S 2019, ' Probabilistic movement models and zones of control ', Machine Learning, vol. 108, no. 1, pp. 127-147 . https://doi.org/10.1007/s10994-018-5725-1مصطلحات موضوعية: Positional data, Zones of Control, Movement models, business.industry, Computer science, Movement (music), Control (management), Probabilistic logic, Business informatics, traditional Models, 02 engineering and technology, Machine learning, computer.software_genre, Team sports, Artificial Intelligence, 020204 information systems, Soccer, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Software
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61703a4657bad612ab1e8ba5a446e335
https://www.scopus.com/record/display.uri?eid=2-s2.0-85049144661&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=a1b36c50e8a352731cb1a754c64fb95a -
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المؤلفون: Jan Lasek, Marek Gagolewski, Sandjai Bhulai, Zoltán Szlávik
المساهمون: Network Institute, Computational Intelligence, Mathematics
المصدر: Journal of Applied Statistics, 43(7), 1349-1368. Routledge
Lasek, J, Szlavik, Z, Gagolewski, M & Bhulai, S 2016, ' How to improve a team's position in the FIFA ranking?-A simulation study ', Journal of Applied Statistics, vol. 43, no. 7, pp. 1349-1368 . https://doi.org/10.1080/02664763.2015.1100593مصطلحات موضوعية: Statistics and Probability, SDG 16 - Peace, Operations research, SDG 16 - Peace, Justice and Strong Institutions, Globe, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Football, League, Decision problem, Justice and Strong Institutions, Competition (economics), medicine.anatomical_structure, Ranking, medicine, Position (finance), Statistics, Probability and Uncertainty, Predictive modelling
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المؤلفون: Michal Tadeusiak, Jan Kanty Milczek, Robert Bogucki, Jan Lasek
المصدر: FedCSIS
Annals of computer science and information systems, Vol 8, Pp 213-220 (2016)مصطلحات موضوعية: FOS: Computer and information sciences, 021110 strategic, defence & security studies, lcsh:T58.5-58.64, lcsh:Information technology, business.industry, Computer science, 0211 other engineering and technologies, Coal mining, Machine Learning (stat.ML), 02 engineering and technology, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, Machine Learning (cs.LG), Computer Science - Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Early warning system, 020201 artificial intelligence & image processing, lcsh:Electronic computers. Computer science, Artificial intelligence, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd89cfa6731a5bcff359c9bbd1e32522
http://arxiv.org/abs/1609.06957 -
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المؤلفون: Marek Gagolewski, Jan Lasek
المصدر: FedCSIS
مصطلحات موضوعية: business.industry, Computer science, Feature extraction, Machine learning, computer.software_genre, Random forest, Data modeling, Competition (economics), Data set, Key (cryptography), Data mining, Artificial intelligence, Time series, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2e524a814d1b4a96fcdcd20652616234
https://doi.org/10.15439/2015f418
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المؤلفون: Marek Gagolewski, Jan Lasek
المصدر: IFSA-EUSFLAT
مصطلحات موضوعية: Informetrics, Preference learning, business.industry, Artificial intelligence, business, Machine learning, computer.software_genre, computer, Field (computer science), Mathematics
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::35fec0feef671a8cf86becc616382b53
https://doi.org/10.2991/ifsa-eusflat-15.2015.70 -
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المؤلفون: Marek Gagolewski, Jan Lasek
المصدر: Advances in Intelligent Systems and Computing ISBN: 9783319113098
مصطلحات موضوعية: Knowledge management, Computer science, business.industry, media_common.quotation_subject, Intelligent decision support system, Bibliometrics, Digital library, Fuzzy logic, Index (publishing), Computer software, Quality (business), Web resource, business, media_common
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6d9de5e1da386fc2de05fd7b7e7bc169
https://doi.org/10.1007/978-3-319-11310-4_25
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