Výsledky vyhledávání - data-driven algorithm design

Data-Driven Trajectory Tracking Control Algorithm Design for Fast Migration to Different Autonomous Vehicles

Autoři: Yueming Cao Zehong Ke Shangyi Li a další

Zdroj: 2024 IEEE Intelligent Vehicles Symposium (IV). :2709-2716

Exploration of data-driven midsole algorithm design based in biomechanics data and Voronoi 3D to digital manufacturing

Autoři: Bugin, Luis Augusto Kuwer Fagundes, Cristian Vinicius Machado Bruscato, Underléa Miotto a další

Zdroj: Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS

Témata: Footwear midsole, Algoritmos, 0203 mechanical engineering, Digital manufacturing, Data-driven algorirthm, 0211 other engineering and technologies, Biomechanics, Fabricação digital, Design de produto, 02 engineering and technology, Biomecânica

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ufrgs.br/det/index.php/det/article/download/807/296
https://lume.ufrgs.br/handle/10183/218241
https://www.ufrgs.br/det/index.php/det/article/view/807
https://www.ufrgs.br/det/index.php/det/article/download/807/296
http://hdl.handle.net/10183/218241

How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design

Autoři: Maria-Florina Balcan Dan DeBlasio Travis Dick a další

Zdroj: Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing. :919-932

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG)

Přístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3406325.3451036
http://arxiv.org/abs/1908.02894
https://dblp.uni-trier.de/db/conf/stoc/stoc2021.html#BalcanDDKSV21
https://dl.acm.org/doi/pdf/10.1145/3406325.3451036
http://acm-stoc.org/stoc2021/accepted-papers.html#43

How Much Data Is Sufficient to Learn High-Performing Algorithms?: How much data is sufficient to learn high-performing algorithms?

Autoři: Maria-Florina Balcan Dan Deblasio Travis Dick a další

Zdroj: Journal of the ACM. 71:1-58

Témata: 0301 basic medicine, data-driven algorithm design, 0303 health sciences, 03 medical and health sciences, machine learning, computational biology, General topics in the theory of algorithms, Learning and adaptive systems in artificial intelligence, automated algorithm design, automated algorithm configuration

Popis souboru: application/xml

Data-driven algorithm design

Autoři: Tim Roughgarden Rishi Gupta

Zdroj: Communications of the ACM. 63:87-94

Témata: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3394625
https://dl.acm.org/doi/10.1145/3394625
https://dblp.uni-trier.de/db/journals/cacm/cacm63.html#GuptaR20
https://doi.org/10.1145/3394625

Accelerating ERM for data-driven algorithm design using output-sensitive techniques

Autoři: Balcan, Maria-Florina Seiler, Christopher Sharma, Dravyansh

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), 0102 computer and information sciences, 01 natural sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2204.03569

Data-driven score tuning for ChooseLD: A structure-based drug design algorithm with empirical scoring and evaluation of ligand–protein docking predictability

Autoři: Akihiro Masuda Daichi Sadato Mitsuo Iwadate

Zdroj: Biophysics and Physicobiology. 2024, 21(3)

Data-Driven Algorithm Design

Autoři: Maria-Florina Balcan

Zdroj: Beyond the Worst-Case Analysis of Algorithms ISBN: 9781108637435

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Data Structures and Algorithms (cs.DS), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/pdf/2011.07177
http://arxiv.org/abs/2011.07177
https://arxiv.org/abs/2011.07177
https://www.cambridge.org/core/books/beyond-the-worstcase-analysis-of-algorithms/datadriven-algorithm-design/E82EB983E99AF747A36047CE982A1A96
https://dblp.uni-trier.de/db/journals/corr/corr2011.html#abs-2011-07177
https://arxiv.org/pdf/2011.07177

Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization

Autoři: Ellen Vitercik Maria-Florina Balcan Travis Dick

Zdroj: 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS). :603-614

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 0102 computer and information sciences, 01 natural sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/pdf/1711.03091
http://arxiv.org/abs/1711.03091
https://dblp.uni-trier.de/db/conf/focs/focs2018.html#BalcanDV18

Data-driven and model-based design applied to sheet metal forming

Modelação baseada em dados aplicada à conformação de chapas metálicas

Autoři: Marques, Armando José Eusébio

Témata: Constitutive Models, Machine Learning, Metamodeling, Parameter Identification, Sheet Metal Forming, Identificação de Parâmetros, Metamodelação, Modelos Constitutivos, Aprendizagem Computacional, Estampagem de Chapas Metálicas, Ciências da engenharia e tecnologias::Engenharia mecânica

Dostupnost: https://hdl.handle.net/10316/118338

Data-driven Algorithm Design

Autoři: Balcan, Maria-Florina

Témata: Computer Science - Data Structures and Algorithms, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2011.07177

How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design

Autoři: Balcan, Maria-Florina DeBlasio, Dan Dick, Travis a další

Témata: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1908.02894

Algorithm Design and Experimental Research on Achievement Analysis of Output Oriented Course Objectives, Using Digital 'Signal Processing A' as a Case Study

Autoři: Qiyang Cheng Xinyu Wang Chengwei Zheng a další

Zdroj: Frontiers in Computing and Intelligent Systems. 12:165-171

Enabling Data-Driven Transformation for Small and Medium Enterprises through Collaborative AutoML (Design and Implementation)

Autoři: Chami, Johnas Camillius Santos, Vítor Manuel Pereira Duarte dos RUN

Přispěvatelé: Chami, Johnas Camillius Santos, Vítor Manuel Pereira Duarte dos RUN

Témata: AutoML, Small and Medium Enterprises, Data-driven, Collaborative Framework, Sustainable Development, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 10 - Reduced inequalities, SDG 17 - Partnerships for the goals, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/175272

Data-Driven Solution Portfolios

Autoři: Drygala, Marina Lattanzi, Silvio Maggiori, Andreas a další

Přispěvatelé: Drygala, Marina Lattanzi, Silvio Maggiori, Andreas a další

Témata: FOS: Computer and information sciences, data-driven algorithm design, Computer Science - Data Structures and Algorithms, solution portfolios, Data Structures and Algorithms (cs.DS), ddc:004, matroids

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2412.00717
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2025.46

Smart City Digital Twins, 3D Modeling and Visualization Tools, and Spatial Cognition Algorithms in Artificial Intelligence-based Urban Design and Planning

Autoři: Beckett, Susan

Zdroj: Geopolitics, History, and International Relations, 2022 Jan 01. 14(1), 123-138.

Přístupová URL adresa: https://www.jstor.org/stable/48679657

Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization

Autoři: Balcan, Maria-Florina Dick, Travis Vitercik, Ellen

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1711.03091

Development of a BIM-based Master Digital Model using data-driven design for the suspension bridge

Autoři: Son, Dang Ngoc Rho, GiTae Shim, ChangSu a další

Přispěvatelé: Son, Dang Ngoc Rho, GiTae Shim, ChangSu a další

Témata: BIM, Data-driven design, Master digital model, Suspension bridge

Popis souboru: application/pdf

Relation: 978-981-16-7159-3

Dostupnost: https://hdl.handle.net/1822/96815

English Network Teaching Model and Design of Evaluation System Based on Association Rule Algorithm

Autoři: Xueyu Sun Ting Wang

Zdroj: International Journal of Information and Communication Technology Education. 2024 20(1).

Peer Reviewed: Y

Page Count: 22

Descriptors: Models, Design, Algorithms, Individualized Instruction, Artificial Intelligence, Electronic Learning, English, Language Acquisition, Evaluation, Instructional Effectiveness

Data-Driven Algorithm Design.

Autoři: Gupta, Rishi Roughgarden, Tim

Zdroj: Communications of the ACM; Jun2020, Vol. 63 Issue 6, p87-94, 8p

Témata: ALGORITHMS, MACHINE learning, MATHEMATICAL optimization, MATHEMATICAL proofs, DECISION theory