Suchergebnisse - "Data Science methods"

Data Science for Wind Energy

Autoren: Ding, Yu

Schlagwörter: Bayesian Additive Regression Trees, SVM Model, Power Curve Model, Wind Speed, GEV Distribution, PACF Plot, Wind Turbine, Binning Method, Local Wind Field, ARMA Model, Wind Field Analysis, Ahead Forecast, Wind Speed Forecast, Power Curve, Wind Farm, Data Science Methods, Test Turbine, Importance Sampling Density, Be, GMRF Model, Computer Simulators, CMC, Power Coefficient, Importance Sampling Method, Posterior Predictive Distribution, Data mining, Alternative and renewable energy sources and technology, Artificial intelligence, Probability and statistics

Dateibeschreibung: application/pdf

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/101466

Constraining the Algorithmic Landscape: A Constructive Approach to Witness Incompressibility and Uniform Verification Limits

Autoren: Murphy, Andrew J

Schlagwörter: Logic, Science, Entropy, Information Theory, Polynomial Time, Kolmogorov, Mathematical analysis, Witness Generation, PNP, Polynomial, NP, Data science, Mathematical model, Decision Theory, Data Science/methods, Information, Mathematical Proofs, FOS: Mathematics, Mathematical Computing, Probability, P vs NP, Mathematical method, Computational science, Data Science, Pure mathematics, Mathematical Concepts, Models, Theoretical, Applied mathematics, Probability Theory, NP-completeness, Mathematics/methods, Mathematical logic, Kolmogorov Complexity, Cryptography, Data Science/classification, Mathematics/classification, Information Technology, Mathematics, Algorithms, Formal Proofs

WiNoDa Knowledge Lab: Ein Datenkompetenzzentrum für Naturwissenschaftliche Sammlungen und Objektzentrierte Daten

Autoren: Miklashevsky, Alex Heinle, Karolin Albrecht, Cora et al.

Schlagwörter: WiNoDa, Museums, Data Science, Data Science/trends, Biobehavioral Sciences/statistics & numerical data, Biodiversity, Competency-Based Education, Data science, Data Science/methods, Data Science/standards, Professional Competence/standards, Data Science/statistics & numerical data, Science/statistics & numerical data, Data Science/education

Visualizing data to explore the affective and human dimensions of education research

Autoren: Selkrig, Mark McDonough, Sharon Keamy, Ron et al.

Schlagwörter: 39 Education, Arts-based methods, Data visualization, Data-science methods, Education research

Relation: International Journal of Research and Method in Education Vol. 48, no. 5 (2025), p. 494-507; http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/210450; vital:20907; https://doi.org/10.1080/1743727X.2025.2482912

Verfügbarkeit: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/210450
https://doi.org/10.1080/1743727X.2025.2482912

Quantum Cheese Or A Universal Substrate for Bounded Symbolic Logic via Spiral Compression And a Computational Model for the Turing Halting Problem

Autoren: Daniels, Justin

Schlagwörter: Computation, Turing, Halting Problem, Coding, Compression, Data Compression, Data Science, Data Science/statistics & numerical data, Data Science/education, Data Science/classification, Data Science/instrumentation, Data Science/methods, Number Theory, Recursive Geometry, Logic, Mathematical logic, Epsitemic

Relation: https://zenodo.org/records/15983072; oai:zenodo.org:15983072; https://doi.org/10.5281/zenodo.15983072

Verfügbarkeit: https://doi.org/10.5281/zenodo.15983072
https://zenodo.org/records/15983072

Analysis of regional features of the tibial plateau fractures in the Rostov region

Autoren: George S. Golube Stanislav G. Andrienko Roman A. Khadi

Quelle: Travmatologiâ i Ortopediâ Rossii, Vol 29, Iss 2, Pp 74-87 (2023)

Schlagwörter: post-traumatic knee osteoarthritis, Orthopedic surgery, 03 medical and health sciences, 0302 clinical medicine, treatment complications, prevalence, 8. Economic growth, tibial plateau fractures, data science methods, RD701-811, 3. Good health

Zugangs-URL: https://doaj.org/article/d9db32f84fde4ee0bf70b3490a88d0a0

Constraining the Algorithmic Landscape: A Constructive Approach to Witness Incompressibility and Uniform Verification Limits ; Contraindre le paysage algorithmique : une approche constructive de l'incompressibilité des témoins et des limites de la vérification uniforme ; Begrenzung des algorithmischen Raums: Ein konstruktiver Ansatz zur Zeugeninkompressibilität und zu einheitlichen Verifikationsgrenzen

Autoren: Murphy, Andrew J orcid:0009-0009-6283-

Schlagwörter: Computational science, Mathematical logic, Mathematics, Mathematics/methods, Mathematical analysis, Pure mathematics, Applied mathematics, Mathematical method, Mathematical model, Models, Theoretical, Cryptography, Mathematical Computing, Mathematical Concepts, Science, Data Science, Information, Information Technology, Information Theory, Algorithms, Mathematics/classification, Entropy, Probability, Probability Theory, Logic, Data Science/classification, Data Science/methods, Decision Theory, Kolmogorov, Kolmogorov Complexity

Relation: https://zenodo.org/communities/mathematics/; https://zenodo.org/records/15538251; oai:zenodo.org:15538251; https://doi.org/10.5281/zenodo.15538251

Verfügbarkeit: https://doi.org/10.5281/zenodo.15538251
https://zenodo.org/records/15538251

Constraining the Algorithmic Landscape: A Constructive Approach to Witness Incompressibility and Uniform Verification Limits ; Une preuve constructive minimale que 𝑃 ≠ 𝑁 𝑃 P  =NP via l'incompressibilité des témoins ; Begrenzung der algorithmischen Landschaft: Ein konstruktiver Zugang zur Zeugen-Unkomprimierbarkeit und zu uniformen Verifikationsgrenzen

Autoren: Murphy, Andrew J orcid:0009-0009-6283-

Schlagwörter: Computational science, Mathematical logic, Mathematics, Mathematics/methods, Mathematical analysis, Pure mathematics, Applied mathematics, Mathematical method, Mathematical model, Models, Theoretical, Cryptography, Mathematical Computing, Mathematical Concepts, Science, Data Science, Information, Information Technology, Information Theory, Algorithms, Mathematics/classification, Entropy, Probability, Probability Theory, Logic, Data Science/classification, Data Science/methods, Decision Theory, Kolmogorov, Kolmogorov Complexity

Relation: https://zenodo.org/communities/mathematics/; https://zenodo.org/records/15536270; oai:zenodo.org:15536270; https://doi.org/10.5281/zenodo.15536270

Verfügbarkeit: https://doi.org/10.5281/zenodo.15536270
https://zenodo.org/records/15536270

High Dimensional Rendering and Evaluation Metric Through Tissot's Indicatrix

Autoren: Li, Mark

Schlagwörter: Geometry, High Dimension, Data Science/methods, Linear algebra

Relation: https://zenodo.org/records/15454501; oai:zenodo.org:15454501; https://doi.org/10.5281/zenodo.15454501

Verfügbarkeit: https://doi.org/10.5281/zenodo.15454501
https://zenodo.org/records/15454501

Data Science Diabetes Prediction

Autoren: Ahamed Musthafa Careem orcid:0009-0002-4944-

Schlagwörter: Data Science, Data Science/statistics & numerical data, Data Science/methods, Diabetes, Health/trends

Relation: https://zenodo.org/records/14543681; oai:zenodo.org:14543681; https://doi.org/10.5281/zenodo.14543681

Verfügbarkeit: https://doi.org/10.5281/zenodo.14543681
https://zenodo.org/records/14543681

Making teacher educators’ experiences visible: seeing inside the hopeful and ambiguous dimensions of practice

Autoren: McDonough, Sharon Keamy, Ron Brandenburg, Robyn et al.

Schlagwörter: 3901 Curriculum and pedagogy, 3903 Education systems, 3904 Specialist studies in education, Arts-based methods, Data science methods, Practice architectures, Teacher educator work

Relation: Asia-Pacific Journal of Teacher Education Vol. 52, no. 4 (2024), p. 477-491; http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/202756; vital:19739; https://doi.org/10.1080/1359866X.2024.2381255

Verfügbarkeit: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/202756
https://doi.org/10.1080/1359866X.2024.2381255

ARIEL: Advanced Reinforcement Incentives & Emotions based Learning

Autoren: Jason Langhorne, Mesiah Bishop

Schlagwörter: Machine Learning/ethics, Artificial intelligence, Robotics/instrumentation, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Swarm robotics, Quantum Dots/classification, Data Science/economics, Artificial Intelligence/standards, Robotics/economics, Probiotics/history, Unsupervised Machine Learning/classification, Data science, Machine Learning, Robotics/trends, Deep Learning/supply & distribution, Supervised Machine Learning/economics, Data Science/methods, Robotics/organization & administration, Deep Learning/economics, Machine Learning/standards, Robotics/methods, Artificial Intelligence/ethics, Supervised Machine Learning/ethics, Machine Learning/supply & distribution, Robotics/legislation & jurisprudence, Materials Science/statistics & numerical data, Robotics, Deep Learning/standards, Cognitive Science/statistics & numerical data, Robotics/history, Supervised Machine Learning/classification, Machine Learning/trends, Unsupervised Machine Learning/ethics, Robotics/classification, Machine Learning/history, Artificial Intelligence/classification, Data Science/classification, Supervised Machine Learning, Robotics/standards, Data Science/instrumentation, Deep Learning/statistics & numerical data, Artificial Intelligence/economics, Supervised Machine Learning/trends, Unsupervised Machine Learning/history, Data Science/trends, Soft robotics, Data Science/legislation & jurisprudence, Deep Learning/legislation & jurisprudence, Data Science/organization & administration, Artificial Intelligence/history, Military Science/statistics & numerical data, Deep Learning, Artificial Intelligence, Supervised Machine Learning/standards, Robotics/ethics, Machine learning, Machine Learning/classification, Environmental Science/statistics & numerical data, Deep Learning/history, Robotics/education, Quantum Theory/history, Artificial Intelligence/trends, Science/statistics & numerical data, Deep Learning/classification, Machine Learning/legislation & jurisprudence, Data Science/education, Robotics/statistics & numerical data, Probiotics, Data Science, Data Science/history, Quantum computers, Robotic surgery, Deep learning, Artificial Intelligence/supply & distribution, Machine Learning/economics, Deep Learning/ethics, Information Science/statistics & numerical data, Data Science/ethics, Data Science/standards, Quantum Theory, Data Science/statistics & numerical data, Neural Networks, Computer, Unsupervised Machine Learning, Deep Learning/trends

Variability in the analysis of a single neuroimaging dataset by many teams.

Autoren: Botvinik-Nezer, R. Holzmeister, F. Camerer, C.F. et al.

Schlagwörter: Female, Humans, Male, Brain/diagnostic imaging, Brain/physiology, Data Analysis, Data Science/methods, Data Science/standards, Datasets as Topic/statistics & numerical data, Functional Neuroimaging, Logistic Models, Magnetic Resonance Imaging, Meta-Analysis as Topic, Models, Neurological, Reproducibility of Results, Research Personnel/organization & administration, Research Personnel/standards, Software

Relation: Nature; https://iris.unil.ch/handle/iris/219460; serval:BIB_7E653B5D475C; 000535225300001

Verfügbarkeit: https://iris.unil.ch/handle/iris/219460
https://doi.org/10.1038/s41586-020-2314-9

PRESSnet: A Novel Framework for Patient Stratification and Biomarker Discovery using Clinical Knowledge Graphs

Autoren: Cohen-Setton, Jake Shikhare, Shruti

Weitere Verfasser: Cohen-Setton, Jake Shikhare, Shruti

Schlagwörter: Data Science/methods, Biomarkers, Artificial Intelligence, Machine Learning, Graph theory

Relation: https://zenodo.org/records/17100621; oai:zenodo.org:17100621; https://doi.org/10.5281/zenodo.17100621

Verfügbarkeit: https://doi.org/10.5281/zenodo.17100621
https://zenodo.org/records/17100621

Dynamic Probabilistic Fusion with Energy-Based Uncertainty for Fast, Robust, Adaptive Multimodal

Autoren: Yang, Andy Shueh-Chih orcid:0009-0001-6884-

Schlagwörter: Multimodal Imaging/classification, Machine Learning, Sentiment Analysis/classification, Data Science, Data Science/methods, Data Mining, Data Mining/methods, Data Mining/trends, Data Mining/classification

Relation: https://zenodo.org/records/15354858; oai:zenodo.org:15354858; https://doi.org/10.5281/zenodo.15354858

Verfügbarkeit: https://doi.org/10.5281/zenodo.15354858
https://zenodo.org/records/15354858

FOSSR RISIS School on Data Science: Tools and Methods for Analyzing Complex Science, Technology, and Innovation (STI) Systems

Autoren: Zinilli, Antonio orcid:0000-0001-8505- Guardabascio, Barbara et al.

Weitere Verfasser: Zinilli, Antonio orcid:0000-0001-8505- Guardabascio, Barbara et al.

Schlagwörter: Data Science/methods, Social Network Analysis, Spatial Analysis, Bayesian statistics, Supervised Machine Learning

Relation: https://zenodo.org/communities/fossr/; https://zenodo.org/records/14994005; oai:zenodo.org:14994005; https://doi.org/10.5281/zenodo.14994005

Verfügbarkeit: https://doi.org/10.5281/zenodo.14994005
https://zenodo.org/records/14994005

Data Science in Finance and Economics

Schlagwörter: data science methods, computing, big data, finance, economics, Finance, HG1-9999, Statistics, HA1-4737

Dateibeschreibung: electronic resource

Relation: https://www.aimspress.com/journal/dsfe; https://www.aimspress.com/index/news/solo-detail/openaccesspolicy; https://www.aimspress.com/dsfe/news/solo-detail/aimandscope; https://www.aimspress.com/dsfe/news/solo-detail/instructionsforauthors

Zugangs-URL: https://doaj.org/toc/2769-2140

IDEB 2017 boxplots for the different educational cycles Early Years, Final Years and High School and Brazilian regions.

Autoren: Joyce de Souza Zanirato Maia (10318906) Ana Paula Arantes Bueno (10318909) João Ricardo Sato (6836045)

Schlagwörter: Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, school performance, IDEB, school structure variables, data science methods Educational in., factor, Brazilian school cycles, determination coefficient metrics

Relation: https://figshare.com/articles/journal_contribution/IDEB_2017_boxplots_for_the_different_educational_cycles_Early_Years_Final_Years_and_High_School_and_Brazilian_regions_/14231791

Verfügbarkeit: https://doi.org/10.1371/journal.pone.0248525.s001

Historical IDEB for the different educational cycles Early Years, Final Years and High School.

Autoren: Joyce de Souza Zanirato Maia (10318906) Ana Paula Arantes Bueno (10318909) João Ricardo Sato (6836045)

Schlagwörter: Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, school performance, IDEB, school structure variables, data science methods Educational in., factor, Brazilian school cycles, determination coefficient metrics

Relation: https://figshare.com/articles/journal_contribution/Historical_IDEB_for_the_different_educational_cycles_Early_Years_Final_Years_and_High_School_/14231794

Verfügbarkeit: https://doi.org/10.1371/journal.pone.0248525.s002

Importance of variables calculated using the GBM for the High School in southeastern states.

Autoren: Joyce de Souza Zanirato Maia (10318906) Ana Paula Arantes Bueno (10318909) João Ricardo Sato (6836045)

Schlagwörter: Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, school performance, IDEB, school structure variables, data science methods Educational in., factor, Brazilian school cycles, determination coefficient metrics

Relation: https://figshare.com/articles/journal_contribution/Importance_of_variables_calculated_using_the_GBM_for_the_High_School_in_southeastern_states_/14231806

Verfügbarkeit: https://doi.org/10.1371/journal.pone.0248525.s006