Výsledky vyhledávání - acm: i.: computing methodologies/i.5: pattern recognition/i.5.1: models/i.5.1.4: statistika

Prepoznavanje i grupiranje digitalnih sadržaja temeljeno na semantici ; Recognition and grouping of digital contents based on semantic

Autoři: Pribolšan, Sandro Jevtić, Dragan

Přispěvatelé: Pribolšan, Sandro Jevtić, Dragan

Témata: obrada prirodnog jezika, strojno učenje, statistika, grupiranje, prepoznavanje, semantika, graf semantičkih odnosa, tekst, jezični modeli, natural language processing, machine learning, statistics, grouping, recognition, semantics, semantic relationships graph, text, language models, TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing, TEHNIČKE ZNANOSTI. Elektrotehnika, TECHNICAL SCIENCES. Electrical Engineering

Popis souboru: application/pdf

Relation: https://zir.nsk.hr/islandora/object/fer:1856; https://urn.nsk.hr/urn:nbn:hr:168:863222; https://repozitorij.unizg.hr/islandora/object/fer:1856; https://repozitorij.unizg.hr/islandora/object/fer:1856/datastream/PDF

Dostupnost: https://zir.nsk.hr/islandora/object/fer:1856
https://urn.nsk.hr/urn:nbn:hr:168:863222
https://repozitorij.unizg.hr/islandora/object/fer:1856
https://repozitorij.unizg.hr/islandora/object/fer:1856/datastream/PDF

Pricing Survivor Bonds with Affine-Jump Diffusion Stochastic Mortality Models

Autoři: Bravo, Jorge Miguel Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) a další

Přispěvatelé: Bravo, Jorge Miguel Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) a další

Témata: Survivor bonds, Stochastic mortality models, Affine-jump diffusion, Longevity risk, Longevity-linked securities, Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition, Software, SDG 3 - Good Health and Well-being

Popis souboru: application/pdf

Relation: 978-1-4503-8949-5; PURE: 31784021

Dostupnost: http://hdl.handle.net/10362/122030

Prepoznavanje i grupiranje digitalnih sadržaja temeljeno na semantici

Autoři: Pribolšan, Sandro Jevtić, Dragan

Přispěvatelé: Pribolšan, Sandro Jevtić, Dragan

Témata: obrada prirodnog jezika, semantic relationships graph, TEHNIČKE ZNANOSTI. Računarstvo, TEHNIČKE ZNANOSTI. Elektrotehnika, grupiranje, statistika, prepoznavanje, strojno učenje, tekst, machine learning, semantika, grouping, TECHNICAL SCIENCES. Electrical Engineering, statistics, TECHNICAL SCIENCES. Computing, language models, jezični modeli, natural language processing, recognition, graf semantičkih odnosa, semantics, text

Popis souboru: application/pdf

Přístupová URL adresa: https://urn.nsk.hr/urn:nbn:hr:168:863222
https://repozitorij.fer.unizg.hr/islandora/object/fer:1856/datastream/PDF
https://repozitorij.fer.unizg.hr/islandora/object/fer:1856

Dubinska analiza podataka iz baze medicinske dokumentacije o pacijentima ; Data Mining of Patients Medical Documentation Database

Autoři: Borko, Petar Grgić, Mislav

Přispěvatelé: Borko, Petar Grgić, Mislav

Témata: dubinska analiza podataka, umjetna inteligencija, strojno učenje, statistika, grupiranje, k-means, veliki skupovi podataka, pronalaženje uzoraka, analiza medicinskih podataka, data mining, artificial intelligence, machine learning, statistics, clustering, big data, pattern recognition, medical database analysis, TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing

Popis souboru: application/pdf

Relation: https://zir.nsk.hr/islandora/object/fer:9750; https://urn.nsk.hr/urn:nbn:hr:168:723576; https://repozitorij.unizg.hr/islandora/object/fer:9750; https://repozitorij.unizg.hr/islandora/object/fer:9750/datastream/PDF

Dostupnost: https://zir.nsk.hr/islandora/object/fer:9750
https://urn.nsk.hr/urn:nbn:hr:168:723576
https://repozitorij.unizg.hr/islandora/object/fer:9750
https://repozitorij.unizg.hr/islandora/object/fer:9750/datastream/PDF

Strojno učenje u bežičnim mrežama osjetila ; Machine learning in wireless sensor networks

Autoři: Janžić, Josip Žagar, Mario

Přispěvatelé: Janžić, Josip Žagar, Mario

Témata: strojno učenje, bežične mreže osjetila, linearna regresija, neuronske mreže, prepoznavanje uzoraka, web, senzori, statistika, machine learning, wireless sensor networks, linear regression, neural networks, pattern recognition, sensors, statistics, TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing

Popis souboru: application/pdf

Relation: https://zir.nsk.hr/islandora/object/fer:1073; https://urn.nsk.hr/urn:nbn:hr:168:381190; https://repozitorij.unizg.hr/islandora/object/fer:1073; https://repozitorij.unizg.hr/islandora/object/fer:1073/datastream/PDF

Dostupnost: https://zir.nsk.hr/islandora/object/fer:1073
https://urn.nsk.hr/urn:nbn:hr:168:381190
https://repozitorij.unizg.hr/islandora/object/fer:1073
https://repozitorij.unizg.hr/islandora/object/fer:1073/datastream/PDF

Formation and Development of Image Analysis and Pattern Recognition in the USSR, the Republic of Belarus, and the Russian Federation.

Autoři: Ablameyko, S. V. Gurevich, I. B. Yashina, V. V.

Zdroj: Pattern Recognition & Image Analysis; Dec2023, Vol. 33 Issue 4, p603-625, 23p

Specifics of development of software systems for real-time pattern recognition.

Autoři: Kruchinin, A.

Zdroj: Automation & Remote Control; Sep2013, Vol. 74 Issue 9, p1599-1605, 7p

Témata: COMPUTER software development, REAL-time computing, MATHEMATICAL formulas, MATHEMATICAL models, PATTERN recognition systems, COMPUTER systems

Dubinska analiza podataka iz baze medicinske dokumentacije o pacijentima

Autoři: Borko, Petar Grgić, Mislav

Přispěvatelé: Borko, Petar Grgić, Mislav

Témata: k-means, TEHNIČKE ZNANOSTI. Računarstvo, grupiranje, pattern recognition, pronalaženje uzoraka, medical database analysis, statistika, data mining, artificial intelligence, strojno učenje, machine learning, statistics, big data, TECHNICAL SCIENCES. Computing, veliki skupovi podataka, umjetna inteligencija, analiza medicinskih podataka, dubinska analiza podataka, clustering

Popis souboru: application/pdf

Přístupová URL adresa: https://urn.nsk.hr/urn:nbn:hr:168:723576
https://repozitorij.fer.unizg.hr/islandora/object/fer:9750/datastream/PDF
https://repozitorij.fer.unizg.hr/islandora/object/fer:9750

Strojno učenje u bežičnim mrežama osjetila

Autoři: Janžić, Josip Žagar, Mario

Přispěvatelé: Janžić, Josip Žagar, Mario

Témata: senzori, TEHNIČKE ZNANOSTI. Računarstvo, pattern recognition, linearna regresija, statistika, neural networks, sensors, web, strojno učenje, prepoznavanje uzoraka, machine learning, statistics, TECHNICAL SCIENCES. Computing, bežične mreže osjetila, neuronske mreže, linear regression, wireless sensor networks

Popis souboru: application/pdf

Přístupová URL adresa: https://repozitorij.fer.unizg.hr/islandora/object/fer:1073
https://urn.nsk.hr/urn:nbn:hr:168:381190
https://repozitorij.fer.unizg.hr/islandora/object/fer:1073/datastream/PDF

Mobile augmented reality techniques for emergency response

Autoři: Campos, Alexandre Correia, Nuno Romão, Teresa a další

Přispěvatelé: Campos, Alexandre Correia, Nuno Romão, Teresa a další

Témata: Emergency response, Location based system, Mobile augmented reality, Software, Human-Computer Interaction, Computer Vision and Pattern Recognition, Computer Networks and Communications

Popis souboru: application/pdf

Relation: Campos, A., Correia, N., Romão, T., Nunes, I., & Simões-Marques, M. (2019). Mobile augmented reality techniques for emergency response. In Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2019 (pp. 31-39). (ACM International Conference Proceeding Series). ACM - Association for Computing Machinery. https://doi.org/10.1145/3360774.3360825; 9781450372831; PURE: 17891300

Dostupnost: http://hdl.handle.net/10362/100833

Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games

Autoři: Rodrigues, Pedro Fonseca, Micaela Lopes, Phil a další

Přispěvatelé: Rodrigues, Pedro Fonseca, Micaela Lopes, Phil a další

Témata: Affective computing, emotion assessment, games, multimodal dataset, virtual reality, Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition, Software

Popis souboru: application/pdf

Relation: Rodrigues, P., Fonseca, M., & Lopes, P. (2023). Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games. In P. Lopes, F. Luz, A. Liapis, & H. Engstrom (Eds.), Foundations of Digital Games 2023 (FDG 2023), April 12–14, 2023, Lisbon, Portugal Article 49 (ACM International Conference Proceeding Series). ACM - Association for Computing Machinery. https://doi.org/10.1145/3582437.3587187; 978-145039856-5; PURE: 66001122

Dostupnost: http://hdl.handle.net/10362/155271

Entropy-Randomized Forecasting of Stochastic Dynamic Regression Models.

Autoři: Popkov, Yuri S. Popkov, Alexey Yu. Dubnov, Yuri A. a další

Zdroj: Mathematics (2227-7390); Jul2020, Vol. 8 Issue 7, p1119, 1p

Témata: LOAD forecasting (Electric power systems), REGRESSION analysis, DYNAMIC models, ELECTRICAL load, FORECASTING, PROBABILITY density function

G-Networks: Development of the Theory of Multiplicative Networks.

Autoři: Bocharov, P. P. Vishnevskii, V. M.

Zdroj: Automation & Remote Control; May2003, Vol. 64 Issue 5, p714-739, 26p

Témata: COMPUTER networks, GENERALIZATION, PROBABILITY theory, MATHEMATICIANS, MATHEMATICAL models, ARTIFICIAL neural networks

Concept paper on novel radio frequency resistive switches

Autoři: Kiazadeh, Asal Deuermeier, Jonas Carlos, Emanuel a další

Přispěvatelé: Kiazadeh, Asal Deuermeier, Jonas Carlos, Emanuel a další

Témata: Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition, Software, SDG 7 - Affordable and Clean Energy

Popis souboru: application/pdf

Relation: Kiazadeh, A., Deuermeier, J., Carlos, E., Martins, R., Matos, S., Cardoso, F. M., & Pessoa, L. M. (2024). Concept paper on novel radio frequency resistive switches. In R. Tetzlaff, F. Corinto, N. Kemp, A. Ascoli, A. Mögel, M-F. Chang, J. S. Friedman, S. Liu, J. P. Strachan, S. Menzel, M. B. Tahoori, M. Ziegler, J. Eshraghian, I. Messaris, C. Koitzsch, T. Mikolajick, & V. Ntinas (Eds.), NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures (pp. 1-3). Article 29 (Nanoarch: IEEE/ACM International Symposium on Nanoscale Architectures). ACM - Association for Computing Machinery. Advance online publication. https://doi.org/10.1145/3611315.3633267; 979-8-4007-0325-6; PURE: 83897309

Dostupnost: http://hdl.handle.net/10362/173650

AI-Based Bankruptcy Prediction for Agricultural Firms in Central and Eastern Europe.

Autoři: Gajdosikova, Dominika Michulek, Jakub Tulyakova, Irina

Zdroj: International Journal of Financial Studies; Sep2025, Vol. 13 Issue 3, p133, 35p

Témata: MACHINE learning, AGRICULTURAL industries, COUNTERPARTY risk, SUSTAINABILITY, FINANCIAL security, ARTIFICIAL intelligence, RISK assessment

Geografický termín: EASTERN Europe

Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment.

Autoři: Rahman, Muhammad Muhitur Rahman, Syed Masiur Shafiullah, Md a další

Zdroj: Sustainability (2071-1050); Dec2022, Vol. 14 Issue 23, p16064, 21p

I/O Access Patterns in HPC Applications: A 360-Degree Survey

Autoři: Bez, Jean Luca Byna, Suren Ibrahim, Shadi

Zdroj: ACM Computing Surveys. 56(2)

Témata: 46 Information and Computing Sciences (for-2020), 4612 Software Engineering (for-2020), I/O access pattern, HPC I/O, storage, I/O characterization, 08 Information and Computing Sciences (for), Information Systems (science-metrix), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/198194vd
https://escholarship.org/content/qt198194vd/qt198194vd.pdf

I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey

Autoři: Lewis, Noah Bez, Jean Luca Byna, Suren

Zdroj: ACM Computing Surveys. 57(10)

Témata: 4606 Distributed Computing and Systems Software (for-2020), 46 Information and Computing Sciences (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), Data Science (rcdc), Machine Learning and Artificial Intelligence (rcdc), 7 Affordable and Clean Energy (sdg), I/O access pattern, HPC I/O, storage, machine learning, 08 Information and Computing Sciences (for), Information Systems (science-metrix), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8tc828xw
https://escholarship.org/content/qt8tc828xw/qt8tc828xw.pdf

A predictive model for postpartum depression: ensemble learning strategies in machine learning.

Autoři: Fazraningtyas, Winda Ayu Rahmatullah, Bahbibi Naparin, Husni a další

Zdroj: Indonesian Journal of Electrical Engineering & Computer Science; Jan2025, Vol. 37 Issue 1, p443-451, 9p

Témata: ENSEMBLE learning, MACHINE learning, FEATURE selection, POSTPARTUM depression, LEARNING strategies

BackMatter.

Autoři: Viattchenin, Dmitri A.

Zdroj: Heuristic Approach to Possibilistic Clustering: Algorithms & Applications; 2013, p219-227, 9p