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This thesis aims to establish a knowledge model for the description of the deep-marine depositional system based on well-founded ontologies, which shall make deep-marine sedimentological data communicable among different formats or databases, and provide a knowledge base for the future application of the computer-assisted geoscientific analysis Master thesis in Sustainable Development at Uppsala University, No. /18, pp, 30 ECTS/hp Summary: Bioprospecting or biological-prospecting refers to the search for new lifeforms and their genetic materials in the natural environment, and to doing scientific research on them Abstract: This thesis investigates the grammaticalization of the be going to construction in English on the basis of Cognitive Grammar theory (Langacker ) using samples taken from the Early English Books Online corpus of historical English
Ontology execution in python for machine learning datasets - GitHub - susmita-dutta-cs/MasterThesis--Ontology: Ontology execution in python for machine learning datasets Ontology Master of Science Thesis in the Programme Foundations of Computing – Algorithms, Languages and Logic RAMONA ENACHE Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering Göteborg, Sweden, February Abstract: This thesis investigates the grammaticalization of the be going to construction in English on the basis of Cognitive Grammar theory (Langacker ) using samples taken from the Early English Books Online corpus of historical English
Ontology Master of Science Thesis in the Programme Foundations of Computing – Algorithms, Languages and Logic RAMONA ENACHE Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering Göteborg, Sweden, February Master thesis in Sustainable Development at Uppsala University, No. /18, pp, 30 ECTS/hp Summary: Bioprospecting or biological-prospecting refers to the search for new lifeforms and their genetic materials in the natural environment, and to doing scientific research on them Ontology-based Optimization Modelling Tool for distributed and ad-hoc business problems A Master’s Thesis Submitted to the Department of Industrial and Information Engineering and the Graduate School of Yonsei University in partial fulfillment of the requirements for the degree of Master of Industrial and Information Engineering PIAO GUANGYUAN
Ontology execution in python for machine learning datasets - GitHub - susmita-dutta-cs/MasterThesis--Ontology: Ontology execution in python for machine learning datasets · This is my master thesis at Freie Universität Berlin about ontology matching. The LaTex template was provided by Prof. Dr. Claudia Müller-Birn at Freie Universität Berlin, Institute of Computer Science, Human Centered Computing (see blogger.com) Whether adding background knowledge from ontologies can be added to the model in order to improve the classification accuracy, is also explored in this master’s thesis. A new machine learning model is introduced that incorporates ontology information
Ontology-based Optimization Modelling Tool for distributed and ad-hoc business problems A Master’s Thesis Submitted to the Department of Industrial and Information Engineering and the Graduate School of Yonsei University in partial fulfillment of the requirements for the degree of Master of Industrial and Information Engineering PIAO GUANGYUAN Ontology Master of Science Thesis in the Programme Foundations of Computing – Algorithms, Languages and Logic RAMONA ENACHE Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering Göteborg, Sweden, February Ontology execution in python for machine learning datasets - GitHub - susmita-dutta-cs/MasterThesis--Ontology: Ontology execution in python for machine learning datasets
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