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You searched for subject:(adaptive learning algorithm). Showing records 1 – 15 of 15 total matches.

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NSYSU

1. Hsu, Ya-wen. Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2015, NSYSU

 Statistics shows that inpatients or residents of long-term care facilities may fall from daily activities. Most of these falls are associated with identifiable risk factors… (more)

Subjects/Keywords: Adaptive boosting algorithm (AdaBoost); Back Propagation Neural Network (BPNN); learning algorithm; fall detection; machine vision

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APA (6th Edition):

Hsu, Y. (2015). Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hsu, Ya-wen. “Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision.” 2015. Thesis, NSYSU. Accessed January 21, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hsu, Ya-wen. “Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision.” 2015. Web. 21 Jan 2021.

Vancouver:

Hsu Y. Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Jan 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsu Y. Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

2. Wright, Hamish Michael. A Homogeneous Hierarchical Scripted Vector Classification Network with Optimisation by Genetic Algorithm.

Degree: M. Eng., Electrical Engineering, 2007, University of Canterbury

 A simulated learning hierarchical architecture for vector classification is presented. The hierarchy used homogeneous scripted classifiers, maintaining similarity tables, and selforganising maps for the input.… (more)

Subjects/Keywords: machine learning; genetic algorithm; statistical learning; adaptive software

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APA (6th Edition):

Wright, H. M. (2007). A Homogeneous Hierarchical Scripted Vector Classification Network with Optimisation by Genetic Algorithm. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/1880

Chicago Manual of Style (16th Edition):

Wright, Hamish Michael. “A Homogeneous Hierarchical Scripted Vector Classification Network with Optimisation by Genetic Algorithm.” 2007. Masters Thesis, University of Canterbury. Accessed January 21, 2021. http://dx.doi.org/10.26021/1880.

MLA Handbook (7th Edition):

Wright, Hamish Michael. “A Homogeneous Hierarchical Scripted Vector Classification Network with Optimisation by Genetic Algorithm.” 2007. Web. 21 Jan 2021.

Vancouver:

Wright HM. A Homogeneous Hierarchical Scripted Vector Classification Network with Optimisation by Genetic Algorithm. [Internet] [Masters thesis]. University of Canterbury; 2007. [cited 2021 Jan 21]. Available from: http://dx.doi.org/10.26021/1880.

Council of Science Editors:

Wright HM. A Homogeneous Hierarchical Scripted Vector Classification Network with Optimisation by Genetic Algorithm. [Masters Thesis]. University of Canterbury; 2007. Available from: http://dx.doi.org/10.26021/1880


Iowa State University

3. Pati, Tarun. Modelling and optimal control of nanopositioning piezo stage.

Degree: 2020, Iowa State University

 Nanopositioners have a wide variety of applications in many fields, such as micro and nano manufacturing, medical research and study of micro and nano material… (more)

Subjects/Keywords: Adaptive Model Predictive Control; Data-Driven Modeling; Eigensystem Realization Algorithm; Iterative Learning Control; Nanopositioning Piezoelectric Actuator; System Identification

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APA (6th Edition):

Pati, T. (2020). Modelling and optimal control of nanopositioning piezo stage. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pati, Tarun. “Modelling and optimal control of nanopositioning piezo stage.” 2020. Thesis, Iowa State University. Accessed January 21, 2021. https://lib.dr.iastate.edu/etd/17889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pati, Tarun. “Modelling and optimal control of nanopositioning piezo stage.” 2020. Web. 21 Jan 2021.

Vancouver:

Pati T. Modelling and optimal control of nanopositioning piezo stage. [Internet] [Thesis]. Iowa State University; 2020. [cited 2021 Jan 21]. Available from: https://lib.dr.iastate.edu/etd/17889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pati T. Modelling and optimal control of nanopositioning piezo stage. [Thesis]. Iowa State University; 2020. Available from: https://lib.dr.iastate.edu/etd/17889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

4. Weeraprajak, Issarest. Faster Adaptive Network Based Fuzzy Inference System.

Degree: PhD, Statistics, 2007, University of Canterbury

 It has been shown by Roger Jang in his paper titled "Adaptive-network-based fuzzy inference systems" that the Adaptive Network based Fuzzy Inference System can model… (more)

Subjects/Keywords: Fuzzy inference system; Adaptive network; Learning algorithm; Soft computing

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APA (6th Edition):

Weeraprajak, I. (2007). Faster Adaptive Network Based Fuzzy Inference System. (Doctoral Dissertation). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/3412

Chicago Manual of Style (16th Edition):

Weeraprajak, Issarest. “Faster Adaptive Network Based Fuzzy Inference System.” 2007. Doctoral Dissertation, University of Canterbury. Accessed January 21, 2021. http://dx.doi.org/10.26021/3412.

MLA Handbook (7th Edition):

Weeraprajak, Issarest. “Faster Adaptive Network Based Fuzzy Inference System.” 2007. Web. 21 Jan 2021.

Vancouver:

Weeraprajak I. Faster Adaptive Network Based Fuzzy Inference System. [Internet] [Doctoral dissertation]. University of Canterbury; 2007. [cited 2021 Jan 21]. Available from: http://dx.doi.org/10.26021/3412.

Council of Science Editors:

Weeraprajak I. Faster Adaptive Network Based Fuzzy Inference System. [Doctoral Dissertation]. University of Canterbury; 2007. Available from: http://dx.doi.org/10.26021/3412


Macquarie University

5. Moore, Alex Edward. Random parameters analysis of competitive agents in an imperfect information environment.

Degree: 2012, Macquarie University

"This thesis is presented for the degree of Doctor of Philosophy"

"September 2011 (original), September 2012 (with corrections)"

Bibliography: leaves 153-156.

1. Trading in uncertainty… (more)

Subjects/Keywords: Probabilities  – Mathematical models; Prediction theory; Machine learning  – Mathematical models; Pattern recognition systems; Mathematical statistics; Statistical decision; Games of chance (Mathematics); Game theory; adaptive learning algorithm; adaptive regression; game theoretic methods; machine learning; gambling; adaptive random parameters

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APA (6th Edition):

Moore, A. E. (2012). Random parameters analysis of competitive agents in an imperfect information environment. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/266883

Chicago Manual of Style (16th Edition):

Moore, Alex Edward. “Random parameters analysis of competitive agents in an imperfect information environment.” 2012. Doctoral Dissertation, Macquarie University. Accessed January 21, 2021. http://hdl.handle.net/1959.14/266883.

MLA Handbook (7th Edition):

Moore, Alex Edward. “Random parameters analysis of competitive agents in an imperfect information environment.” 2012. Web. 21 Jan 2021.

Vancouver:

Moore AE. Random parameters analysis of competitive agents in an imperfect information environment. [Internet] [Doctoral dissertation]. Macquarie University; 2012. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/1959.14/266883.

Council of Science Editors:

Moore AE. Random parameters analysis of competitive agents in an imperfect information environment. [Doctoral Dissertation]. Macquarie University; 2012. Available from: http://hdl.handle.net/1959.14/266883


Indian Institute of Science

6. Arvind, M T. Stochastic Learning Algorithms With Improved Speed Performance.

Degree: PhD, Faculty of Engineering, 2012, Indian Institute of Science

Subjects/Keywords: Machine Learning; Pattern Recognition; Adaptive Control Systems; Learning Automata; Parallel Algorithm; Computer Science

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APA (6th Edition):

Arvind, M. T. (2012). Stochastic Learning Algorithms With Improved Speed Performance. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/1708

Chicago Manual of Style (16th Edition):

Arvind, M T. “Stochastic Learning Algorithms With Improved Speed Performance.” 2012. Doctoral Dissertation, Indian Institute of Science. Accessed January 21, 2021. http://etd.iisc.ac.in/handle/2005/1708.

MLA Handbook (7th Edition):

Arvind, M T. “Stochastic Learning Algorithms With Improved Speed Performance.” 2012. Web. 21 Jan 2021.

Vancouver:

Arvind MT. Stochastic Learning Algorithms With Improved Speed Performance. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2012. [cited 2021 Jan 21]. Available from: http://etd.iisc.ac.in/handle/2005/1708.

Council of Science Editors:

Arvind MT. Stochastic Learning Algorithms With Improved Speed Performance. [Doctoral Dissertation]. Indian Institute of Science; 2012. Available from: http://etd.iisc.ac.in/handle/2005/1708

7. Miao, Yun Qian. Adaptive Learning Algorithms for Non-stationary Data.

Degree: 2015, University of Waterloo

 With the wide availability of large amounts of data and acute need for extracting useful information from such data, intelligent data analysis has attracted great… (more)

Subjects/Keywords: Machine Learning; Data Mining; Adaptive Learning Algorithm; Density-Ratio Estimation

…change of domains. 1 There are numerous data analysis scenarios in which adaptive learning… …stationary Data This chapter provides a background on the topic of adaptive learning for non… …algorithm [121]. Reinforcement learning is particularly suitable to solve problems which… …Semi-supervised Learning . . . . . . . . . . . . . . . . . . . . . 27 Summary… …Ratio . . . . . . . . . . . . . . . . . . . . . . . . . . 33 4.2.1 Learning Objectives… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Miao, Y. Q. (2015). Adaptive Learning Algorithms for Non-stationary Data. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Miao, Yun Qian. “Adaptive Learning Algorithms for Non-stationary Data.” 2015. Thesis, University of Waterloo. Accessed January 21, 2021. http://hdl.handle.net/10012/9254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Miao, Yun Qian. “Adaptive Learning Algorithms for Non-stationary Data.” 2015. Web. 21 Jan 2021.

Vancouver:

Miao YQ. Adaptive Learning Algorithms for Non-stationary Data. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10012/9254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Miao YQ. Adaptive Learning Algorithms for Non-stationary Data. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

8. Prashanth, L A. Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design.

Degree: PhD, Faculty of Engineering, 2017, Indian Institute of Science

 A fundamental question in a sequential decision making setting under uncertainty is “how to allocate resources amongst competing entities so as to maximize the rewards… (more)

Subjects/Keywords: Vehicular Traffic Control; Service Systems; Sensor Networks; Mechanism Design; Traffic Signal Control - Q-Learning; Traffic Signal Control; Signal Control - Threshold Tuning; Traffic Light Control Algorithm; Adaptive Labor Staffing; Sleep-Wake Scheduling Algorithms; Reinforcement Learning; Vehicular Control; Graded Signal Control; Adaptive Sleep–wake Control; Computer Science

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APA (6th Edition):

Prashanth, L. A. (2017). Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2810

Chicago Manual of Style (16th Edition):

Prashanth, L A. “Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design.” 2017. Doctoral Dissertation, Indian Institute of Science. Accessed January 21, 2021. http://etd.iisc.ac.in/handle/2005/2810.

MLA Handbook (7th Edition):

Prashanth, L A. “Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design.” 2017. Web. 21 Jan 2021.

Vancouver:

Prashanth LA. Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2017. [cited 2021 Jan 21]. Available from: http://etd.iisc.ac.in/handle/2005/2810.

Council of Science Editors:

Prashanth LA. Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design. [Doctoral Dissertation]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ac.in/handle/2005/2810


University of Bradford

9. Suleiman, Iyad. Integrating data mining and social network techniques into the development of a Web-based adaptive play-based assessment tool for school readiness.

Degree: PhD, 2013, University of Bradford

 A major challenge that faces most families is effectively anticipating how ready to start school a given child is. Traditional tests are not very effective… (more)

Subjects/Keywords: 006.3; School readiness, Data mining, Social networks, Adaptive web-based assessment, Stealth assessment, Serious games, Hypermedia systems, On-line genetic algorithm, Machine learning, Cross platform application

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APA (6th Edition):

Suleiman, I. (2013). Integrating data mining and social network techniques into the development of a Web-based adaptive play-based assessment tool for school readiness. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/7293

Chicago Manual of Style (16th Edition):

Suleiman, Iyad. “Integrating data mining and social network techniques into the development of a Web-based adaptive play-based assessment tool for school readiness.” 2013. Doctoral Dissertation, University of Bradford. Accessed January 21, 2021. http://hdl.handle.net/10454/7293.

MLA Handbook (7th Edition):

Suleiman, Iyad. “Integrating data mining and social network techniques into the development of a Web-based adaptive play-based assessment tool for school readiness.” 2013. Web. 21 Jan 2021.

Vancouver:

Suleiman I. Integrating data mining and social network techniques into the development of a Web-based adaptive play-based assessment tool for school readiness. [Internet] [Doctoral dissertation]. University of Bradford; 2013. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10454/7293.

Council of Science Editors:

Suleiman I. Integrating data mining and social network techniques into the development of a Web-based adaptive play-based assessment tool for school readiness. [Doctoral Dissertation]. University of Bradford; 2013. Available from: http://hdl.handle.net/10454/7293

10. Krouska, Akrivi. A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education.

Degree: 2019, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

 This Ph.D. thesis presents a novel approach of an intelligent social network designed for adult learning that performs individualized instruction, adaptive feedback and project-based learning(more)

Subjects/Keywords: Προσαρμοστική διδασκαλία; Στρατηγικές εξέτασης μαθητή; Σύστημα ευσήμων; Ψηφιακή μάθηση; Διαμορφωτική ανατροφοδότηση; Ασαφή λογική; Γενετικός αλγόριθμος; Δημιουργία ομάδων; Ευφυείς τεχνικές; Μαθησιακή αναλυτική; Παιδαγωγικές πρακτικές; Εξατομίκευση; Ταξινομία bloom; Μοντελοποίηση μαθητών; Κοινωνικά δίκτυα; Adaptive tutoring; Assessment strategies; Badges system; Digital learning; Formative feedback; Fuzzy logic; Genetic algorithm; Group formation; Intelligent techniques; Learning analytics; Pedagogical methods; Personalized learning; Bloom Taxonomy; Social-extended student modeling; Social networks

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APA (6th Edition):

Krouska, A. (2019). A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/45769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krouska, Akrivi. “A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education.” 2019. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed January 21, 2021. http://hdl.handle.net/10442/hedi/45769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krouska, Akrivi. “A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education.” 2019. Web. 21 Jan 2021.

Vancouver:

Krouska A. A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10442/hedi/45769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krouska A. A novel social network incorporating intelligent techniques for personalized collaborative learning in adult education. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2019. Available from: http://hdl.handle.net/10442/hedi/45769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Georgakopoulos, Spiros. Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης.

Degree: 2019, University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας

This thesis investigates Ambient Intelligence problems establishing novel solutions and innovative Computational Intelligence algorithms, where the "intelligent" and the "perception" are embraced and integrated to… (more)

Subjects/Keywords: Τεχνιτά νευρωνικά δίκτυα; Τεχνιτά νευρωνικά δίκτυα συνελίξεων; Αλγόριθμος εκπαίδευσης μεταβλητού ρυθμού μάθησης; Ευρυγώνια κάμερα; Εντοπισμός ανθρώπινης πτώσης; Ανάλυση εικόνων με ασύρματη ενδοσκόπική με κάψουλα; Artificial neural networks; Convolutional neural networks; Wireless endoscopy capsule; Omni-directional Camera; Human fall detection; Adaptive learning rate algorithm

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APA (6th Edition):

Georgakopoulos, S. (2019). Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης. (Thesis). University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας. Retrieved from http://hdl.handle.net/10442/hedi/45652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Georgakopoulos, Spiros. “Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης.” 2019. Thesis, University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας. Accessed January 21, 2021. http://hdl.handle.net/10442/hedi/45652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Georgakopoulos, Spiros. “Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης.” 2019. Web. 21 Jan 2021.

Vancouver:

Georgakopoulos S. Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης. [Internet] [Thesis]. University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας; 2019. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10442/hedi/45652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Georgakopoulos S. Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης. [Thesis]. University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας; 2019. Available from: http://hdl.handle.net/10442/hedi/45652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Ouferhat, Nesrine. Une approche pour le routage adaptatif avec économie d’énergie et optimisation du délai dans les réseaux de capteurs sans fil : An approach for the adaptive routing with energy saving and optimization of extension in the networks of wireless sensors.

Degree: Docteur es, Informatique et réseaux, 2009, Université Paris-Est

 Grâce aux avancées conjointes des systèmes microélectroniques, des technologies sans fil et de la microélectronique embarquée, les réseaux de capteurs sans fil (RCsF) ont récemment… (more)

Subjects/Keywords: Réseau de capteur sans fil; Routage adaptatif; Apprentissage par renforcement; Economie d’énergie; Optimisation du délai; Wireless sensor networks; Adaptive routing; Reinforcement learning; Energy-aware and delay optimization; Time evolving state dependent algorithm; Multi criteria routing optimization; Quality of service

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APA (6th Edition):

Ouferhat, N. (2009). Une approche pour le routage adaptatif avec économie d’énergie et optimisation du délai dans les réseaux de capteurs sans fil : An approach for the adaptive routing with energy saving and optimization of extension in the networks of wireless sensors. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2009PEST0023

Chicago Manual of Style (16th Edition):

Ouferhat, Nesrine. “Une approche pour le routage adaptatif avec économie d’énergie et optimisation du délai dans les réseaux de capteurs sans fil : An approach for the adaptive routing with energy saving and optimization of extension in the networks of wireless sensors.” 2009. Doctoral Dissertation, Université Paris-Est. Accessed January 21, 2021. http://www.theses.fr/2009PEST0023.

MLA Handbook (7th Edition):

Ouferhat, Nesrine. “Une approche pour le routage adaptatif avec économie d’énergie et optimisation du délai dans les réseaux de capteurs sans fil : An approach for the adaptive routing with energy saving and optimization of extension in the networks of wireless sensors.” 2009. Web. 21 Jan 2021.

Vancouver:

Ouferhat N. Une approche pour le routage adaptatif avec économie d’énergie et optimisation du délai dans les réseaux de capteurs sans fil : An approach for the adaptive routing with energy saving and optimization of extension in the networks of wireless sensors. [Internet] [Doctoral dissertation]. Université Paris-Est; 2009. [cited 2021 Jan 21]. Available from: http://www.theses.fr/2009PEST0023.

Council of Science Editors:

Ouferhat N. Une approche pour le routage adaptatif avec économie d’énergie et optimisation du délai dans les réseaux de capteurs sans fil : An approach for the adaptive routing with energy saving and optimization of extension in the networks of wireless sensors. [Doctoral Dissertation]. Université Paris-Est; 2009. Available from: http://www.theses.fr/2009PEST0023

13. ΚΟΣΜΑΤΟΠΟΥΛΟΣ, ΗΛΙΑΣ. RECURRENT HIGH ORDER NEURAL NETWORKS FOR LEARNING IN DYNAMIC ENVIRONMENTS.

Degree: 1995, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης

IN THIS THESIS, THE APPLICABILITY OF RECURRENT HIGH ORDER NEURAL NETWORKS (RHONNS) WHEN USED IN IDENTIFICATION OF UNKNOWN NONLINEAR DYNAMICAL SYSTEMS IS EXAMINED. RHONNS ARE… (more)

Subjects/Keywords: ΑΛΓΟΡΙΘΜΟΙ ΕΚΜΑΘΗΣΗΣ ΚΑΙ ΠΡΟΣΑΡΜΟΓΗΣ; ΔΙΑΝΥΣΜΑΤΙΚΗ ΚΒΑΝΤΟΠΟΙΗΣΗ; ΕΥΣΤΑΘΕΙΑ ΚΑΤΑ LYAPUNOV; ΜΗ-ΓΡΑΜΜΙΚΑ ΣΥΣΤΗΜΑΤΑ; Δίκτυα, Νευρωνικά; Ρομποτική; ΣΥΓΚΛΙΣΗ ΑΛΓΟΡΙΘΜΩΝ; ΤΑΥΤΟΠΟΙΗΣΗ ΣΥΣΤΗΜΑΤΩΝ; ALGORITHM CONVERGENCE; LEARNING AND ADAPTIVE ALGORITHMS; Lyapunov stability; Neuronic networks; NON-LINEAR SYSTEMS; Robotics; System identification; VECTOR QUANTIZATION

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APA (6th Edition):

ΚΟΣΜΑΤΟΠΟΥΛΟΣ, . . (1995). RECURRENT HIGH ORDER NEURAL NETWORKS FOR LEARNING IN DYNAMIC ENVIRONMENTS. (Thesis). Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Retrieved from http://hdl.handle.net/10442/hedi/3764

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

ΚΟΣΜΑΤΟΠΟΥΛΟΣ, ΗΛΙΑΣ. “RECURRENT HIGH ORDER NEURAL NETWORKS FOR LEARNING IN DYNAMIC ENVIRONMENTS.” 1995. Thesis, Technical University of Crete (TUC); Πολυτεχνείο Κρήτης. Accessed January 21, 2021. http://hdl.handle.net/10442/hedi/3764.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

ΚΟΣΜΑΤΟΠΟΥΛΟΣ, ΗΛΙΑΣ. “RECURRENT HIGH ORDER NEURAL NETWORKS FOR LEARNING IN DYNAMIC ENVIRONMENTS.” 1995. Web. 21 Jan 2021.

Vancouver:

ΚΟΣΜΑΤΟΠΟΥΛΟΣ . RECURRENT HIGH ORDER NEURAL NETWORKS FOR LEARNING IN DYNAMIC ENVIRONMENTS. [Internet] [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 1995. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/10442/hedi/3764.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

ΚΟΣΜΑΤΟΠΟΥΛΟΣ . RECURRENT HIGH ORDER NEURAL NETWORKS FOR LEARNING IN DYNAMIC ENVIRONMENTS. [Thesis]. Technical University of Crete (TUC); Πολυτεχνείο Κρήτης; 1995. Available from: http://hdl.handle.net/10442/hedi/3764

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Xu, Aolin. Information-theoretic limitations of distributed information processing.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 In a generic distributed information processing system, a number of agents connected by communication channels aim to accomplish a task collectively through local communications. The… (more)

Subjects/Keywords: distributed information processing; fundamental limits; information theory; decentralized estimation; Bayes risk; small ball probability; strong data processing inequality; distributed function computation; computation time; network reduction; diameter of network; statistical learning; adaptive composition; stability of learning algorithms; generalization error; mutual information; Gibbs algorithm; adaptive data analytics

…computation, as an example of interactive processing; and statistical learning under adaptive… …algorithms. A statistical learning algorithm can be viewed as a (possibly randomized)… …generalization error of a learning algorithm in terms of its input-output mutual information. These… …learning algorithm contains about the input dataset, the better the algorithm generalizes, or the… …benefit of relating the generalization error of a learning algorithm to its input-output mutual… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, A. (2016). Information-theoretic limitations of distributed information processing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95358

Chicago Manual of Style (16th Edition):

Xu, Aolin. “Information-theoretic limitations of distributed information processing.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 21, 2021. http://hdl.handle.net/2142/95358.

MLA Handbook (7th Edition):

Xu, Aolin. “Information-theoretic limitations of distributed information processing.” 2016. Web. 21 Jan 2021.

Vancouver:

Xu A. Information-theoretic limitations of distributed information processing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Jan 21]. Available from: http://hdl.handle.net/2142/95358.

Council of Science Editors:

Xu A. Information-theoretic limitations of distributed information processing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95358


University of Manchester

15. Alnajem, Abdullah. Risk-Linked Security Solutions for Mobile Financial Systems.

Degree: 2015, University of Manchester

 Abdullah Abdulaziz Ibrahim Alnajem,Risk-Linked Security Solutions for Mobile Financial Systems,Doctor of Philosophy, The University of Manchester, May 5, 2015.Owing to technological developments in areas such… (more)

Subjects/Keywords: Copula; Risk Estimation; Risk Aggregation; Information Technology Security; IT Security; Risk; Fraud; Fraud Patterns; Fraud Detection; Fraud Pattern Detection; Fraud Risk; Corporate Banking; Corporate Mobile Banking; Corp M-Banking; Mobile Banking; M-Banking; Electronic Banking; E-Banking; Internet Banking; Risk Factors; Survival Copula; Union Operator; Sklar Theorem; Genz Method; GPU; CPU; Parallel Computation; CUDA; Massively Parallel Architecture; Risk Factor Analysis; Optimization; Risk-linked Security; Risk-Linked Authentication; Cryptography; Non-linear Constrained Optimization; Stochastic; Random Number Generation; Evasive Fraud Detection; Lying Detection; Cheating Detection; Anti-money Laundering; Anti-terrorist Financing; Corporate Fraud; Corporate Financial Crimes; Mobile Phone; Smart Phone; Graphical Processing Unit; Lagrange; Genetic Algorithm; Multi-factor Authentication; Geometrical Visualization; Non-linear Transformation; Numerical Integration; Risk; Fraud Patterns; Stock Market Manipulation; Copula Theory; Optimal Decision-Making; Real-time Computation; Real-time risk computation; real-time fraud detection; real-time Numerical Integration real-time Numerical Integration for Copulas; Non-linear Transformation; Adaptive Intergration Method; Exhaustive Integration Method; Access Control; Probability Theory; Value-At-Risk; Cumulative Density Function; Probability Distribution Function; Risk Estimation; Risk Regulation; Financial Risk; Basel Committee on Banking Supervision; Multi-level Security; Electronic Commerce; Copulae; Multi-dimensional Distribution; Multi-dimensional Integration; Multi-dimensional Numerical Integration; Multi-dimensional Visualization; Machine Learning; Artificial Intelligence; Hessian Function; GPU Kernel; Thread; GPU Cores; Memory; Neuroscience; Human Brain; System Integration; Analytical; Numerical; Statistics; Interior-point Algorithm; Calculus; Gradient; K40 GPU

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alnajem, A. (2015). Risk-Linked Security Solutions for Mobile Financial Systems. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:263943

Chicago Manual of Style (16th Edition):

Alnajem, Abdullah. “Risk-Linked Security Solutions for Mobile Financial Systems.” 2015. Doctoral Dissertation, University of Manchester. Accessed January 21, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:263943.

MLA Handbook (7th Edition):

Alnajem, Abdullah. “Risk-Linked Security Solutions for Mobile Financial Systems.” 2015. Web. 21 Jan 2021.

Vancouver:

Alnajem A. Risk-Linked Security Solutions for Mobile Financial Systems. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2021 Jan 21]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:263943.

Council of Science Editors:

Alnajem A. Risk-Linked Security Solutions for Mobile Financial Systems. [Doctoral Dissertation]. University of Manchester; 2015. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:263943

.