Littérature scientifique sur le sujet « Factorization system »
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Articles de revues sur le sujet "Factorization system"
Casalino, G., N. Del Buono et M. Minervini. « Nonnegative Matrix Factorizations Performing Object Detection and Localization ». Applied Computational Intelligence and Soft Computing 2012 (2012) : 1–19. http://dx.doi.org/10.1155/2012/781987.
Texte intégralZheng, Weijian, Fengguang Song, Lan Lin et Zizhong Chen. « Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling ». Parallel Processing Letters 28, no 01 (mars 2018) : 1850004. http://dx.doi.org/10.1142/s0129626418500044.
Texte intégralMore, Tejashree, et Prof Surekha Kohle. « Recommendation System Using Matrix Factorization ». International Journal for Research in Applied Science and Engineering Technology 10, no 9 (30 septembre 2022) : 355–59. http://dx.doi.org/10.22214/ijraset.2022.46615.
Texte intégralSadeghi, J., Jalil Naji et Behnam Pourhassan. « Factorization Method in Oscillator with the Aharonov-Casher System ». Advances in Mathematical Physics 2014 (2014) : 1–5. http://dx.doi.org/10.1155/2014/965694.
Texte intégralEchi, Othman, Sami Lazaar et Mohamed Oueld Abdallahi. « On some orthogonal factorization systems ». Journal of Algebra and Its Applications 14, no 08 (27 avril 2015) : 1550120. http://dx.doi.org/10.1142/s0219498815501200.
Texte intégralEven, Valérian, et Marino Gran. « On factorization systems for surjective quandle homomorphisms ». Journal of Knot Theory and Its Ramifications 23, no 11 (octobre 2014) : 1450060. http://dx.doi.org/10.1142/s0218216514500606.
Texte intégralOng, Kyle, Kok-Why Ng et Su-Cheng Haw. « Neural matrix factorization++ based recommendation system ». F1000Research 10 (25 octobre 2021) : 1079. http://dx.doi.org/10.12688/f1000research.73240.1.
Texte intégralRuchitha, K. Venkata. « Book Recommendation System using Matrix Factorization ». International Journal for Research in Applied Science and Engineering Technology 9, no VI (30 juin 2021) : 4578–82. http://dx.doi.org/10.22214/ijraset.2021.36025.
Texte intégralChawla, Tanvi. « FFT Factorization Technique for OFDM System ». International Journal of Computer Applications 54, no 5 (25 septembre 2012) : 36–40. http://dx.doi.org/10.5120/8564-2161.
Texte intégralAlqadri, Mowafaq, Haslinda Ibrahim et Sharmila Karim. « On Cyclic Triple System and Factorization ». Journal of Engineering and Applied Sciences 14, no 21 (31 octobre 2019) : 7928–33. http://dx.doi.org/10.36478/jeasci.2019.7928.7933.
Texte intégralThèses sur le sujet "Factorization system"
Agagu, Tosin. « Recommendation Approaches Using Context-Aware Coupled Matrix Factorization ». Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/37012.
Texte intégralTabari, Michel, et Rawand Sultani. « A comparison of matrix factorization algorithms for a movie recommender system ». Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229734.
Texte intégralRekommendationssystem används alltmer för att förbättra användarupplevelser. Dessa kan implementeras i många sammanhang som i streamingplattformen Netflix för att rekommendera filmer till sina användare. Det finns många sätt att implementera rekommendationssystem och i denna rapport undersöktes två av dessa metoder - Weighted Alternating Least Squares och Stochastic Gradient Descent - som ligger inom kategorin av matrisfaktorisering och deras diverse prestandamått som träningstid, felkonvergens samt kvalitén på förslagen. Till vår hjälp användes TensorFlow, ett ramverk för maskininlärning som utvecklats av Google som har tillhandahållit oss modeller och algoritmer. Resultatet var att Weighted Alternating Least Squares modellen visade sig vara bättre med avseende på kvalitén på förslagen och vi fann även att kvalitén var starkt beroende av modellens parametrar, då vi fann att optimala förslag för en modell kan hittas genom korrekt justering av dessa parametrar. Vi drog slutsatsen att valet av modell beror på den data som undersöks och att optimala parametrar för en modell inte direkt kan överföras till en annan.
Winck, Ryder Christian. « Simultaneous control of coupled actuators using singular value decomposition and semi-nonnegative matrix factorization ». Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45907.
Texte intégralGoda, Sai Bharath. « Recommender system for recipes ». Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17741.
Texte intégralDepartment of Computing and Information Sciences
Daniel A. Anderson
Most of the e-commerce websites like Amazon, EBay, hotels, trip advisor etc. use recommender systems to recommend products to their users. Some of them use the knowledge of history/ of all users to recommend what kind of products the current user may like (Collaborative filtering) and some use the knowledge of the products which the user is interested in and make recommendations (Content based filtering). An example is Amazon which uses both kinds of techniques.. These recommendation systems can be represented in the form of a graph where the nodes are users and products and edges are between users and products. The aim of this project is to build a recommender system for recipes by using the data from allrecipes.com. Allrecipes.com is a popular website used all throughout the world to post recipes, review them and rate them. To understand the data set one needs to know how the recipes are posted and rated in allrecipes.com, whose details are given in the paper. The network of allrecipes.com consists of users, recipes and ingredients. The aim of this research project is to extensively study about two algorithms adsorption and matrix factorization, which are evaluated on homogeneous networks and try them on the heterogeneous networks and analyze their results. This project also studies another algorithm that is used to propagate influence from one network to another network. To learn from one network and propagate the same information to another network we compute flow (influence of one network on another) as described in [7]. The paper introduces a variant of adsorption that takes the flow values into account and tries to make recommendations in the user-recipe and the user-ingredient networks. The results of this variant are analyzed in depth in this paper.
Hedlund, Jesper, et Tengstrand Emma Nilsson. « A Comparison between Different Recommender System Approaches for a Book and an Author Recommender System ». Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166378.
Texte intégralBroman, Nils. « Comparasion of recommender systems for stock inspiration ». Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176408.
Texte intégralSundaramurthy, Roshni. « Recommender System for Gym Customers ». Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166147.
Texte intégralJohansson, Angela. « Distributed System for Factorisation of Large Numbers ». Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1883.
Texte intégralThis thesis aims at implementing methods for factorisation of large numbers. Seeing that there is no deterministic algorithm for finding the prime factors of a given number, the task proves rather difficult. Luckily, there have been developed some effective probabilistic methods since the invention of the computer so that it is now possible to factor numbers having about 200 decimal digits. This however consumes a large amount of resources and therefore, virtually all new factorisations are achieved using the combined power of many computers in a distributed system.
The nature of the distributed system can vary. The original goal of the thesis was to develop a client/server system that allows clients to carry out a portion of the overall computations and submit the result to the server.
Methods for factorisation discussed for implementation in the thesis are: the quadratic sieve, the number field sieve and the elliptic curve method. Actually implemented was only a variant of the quadratic sieve: the multiple polynomial quadratic sieve (MPQS).
Nguyen, Le Ha Vy. « Stability and stabilization of several classes of fractional systems with delays ». Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112387/document.
Texte intégralWe consider two classes of linear time-invariant fractional systems with commensurate orders and discrete delays. The first one consists of multi-input single-output fractional systems with output or input delays. The second one consists of single-input single-output fractional neutral systems with commensurate delays. We study the stabilization of the first class of systems using the factorization approach. We derive left and right coprime factorizations and Bézout factors, which are the elements to constitute the set of all stabilizing controllers. For the second class of systems, we are interested in the critical case where some chains of poles are asymptotic to the imaginary axis. First, we approximate asymptotic poles in order to determine their location relative to the axis. Then, when appropriate, necessary and sufficient conditions for H-infinity-stability are derived. This stability analysis is then extended to classical delay systems of the same form and finally a unified approach for both classes of neutral delay systems with commensurate delays (standard and fractional) is proposed. Next, the stabilization of a subclass of fractional neutral systems is studied. First, the set of all stabilizing controllers is derived. Second, we prove that a large class of fractional controllers with delays cannot eliminate in the closed loop chains of poles asymptotic to the imaginary axis if such chains are present in the controlled systems
Kišac, Matej. « Distribuované aplikace s využitím frameworku Windows Communication Foundation ». Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242060.
Texte intégralLivres sur le sujet "Factorization system"
Vidyasagar, M. Control system synthesis : A factorization approach. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2011.
Trouver le texte intégralControl system synthesis : A factorization approach. Cambridge, Mass : MIT Press, 1985.
Trouver le texte intégralGohberg, Israel, Nenad Manojlovic et António Ferreira dos Santos, dir. Factorization and Integrable Systems. Basel : Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8003-9.
Texte intégralNaik, Vijay K. Data traffic reduction schemes for Cholesky factorization on asynchronous multiprocessor systems. Hampton, Va : ICASE, 1989.
Trouver le texte intégralSymeonidis, Panagiotis, et Andreas Zioupos. Matrix and Tensor Factorization Techniques for Recommender Systems. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41357-0.
Texte intégralJonathan, Wu Q. M., dir. Guide to three dimensional structure and motion factorization. London : Springer, 2011.
Trouver le texte intégralRothberg, Edward. Improved load distribution in parallel sparse Cholesky factorization. [Moffett Field, Calif.] : Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.
Trouver le texte intégral1928-, Gohberg I., Manojlovic Nenad 1962- et Santos, António Ferreira dos, 1939-, dir. Factorization and integrable systems : Summer school in Faro, Portugal, September 2000. Boston : Birkhäuser, 2003.
Trouver le texte intégralGohberg, Israel. Factorization and Integrable Systems : Summer School in Faro, Portugal, September 2000. Basel : Birkhäuser Basel, 2003.
Trouver le texte intégralBurns, John A. Factorization and reduction methods for optimal control of distributed parameter systems. Hampton, Va : ICASE, 1985.
Trouver le texte intégralChapitres de livres sur le sujet "Factorization system"
Bressoud, David M. « The RSA Public Key Crypto-System ». Dans Factorization and Primality Testing, 43–57. New York, NY : Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4544-5_4.
Texte intégralLekshmi Priya, T., et Harikumar Sandhya. « Matrix Factorization for Recommendation System ». Dans Advances in Intelligent Systems and Computing, 267–80. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3514-7_22.
Texte intégralWu, Mu-En, Raylin Tso et Hung-Min Sun. « On the Improvement of Fermat Factorization ». Dans Network and System Security, 380–91. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34601-9_29.
Texte intégralWang, Yanghao, Hailong Sun et Richong Zhang. « AdaMF:Adaptive Boosting Matrix Factorization for Recommender System ». Dans Web-Age Information Management, 43–54. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08010-9_7.
Texte intégralZhang, Ronghua, Zhenlong Zhu, Changzheng Liu, Yuhua Li et Ruixuan Li. « Deep Neural Factorization Machine for Recommender System ». Dans Knowledge Science, Engineering and Management, 273–86. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10986-7_22.
Texte intégralDong, Shi-Hai. « CONTROLLABILITY OF QUANTUM SYSTEM FOR THE PT-LIKE POTENTIAL WITH DYNAMIC GROUP SU(1, 1) ». Dans Factorization Method in Quantum Mechanics, 229–34. Dordrecht : Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5796-0_20.
Texte intégralKunaver, Matevž, et Iztok Fajfar. « Grammatical Evolution in a Matrix Factorization Recommender System ». Dans Artificial Intelligence and Soft Computing, 392–400. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39378-0_34.
Texte intégralZhou, Juming, Dong Wang, Yue Ding et Litian Yin. « SocialFM : A Social Recommender System with Factorization Machines ». Dans Web-Age Information Management, 286–97. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39937-9_22.
Texte intégralAlpay, D., A. Dijksma, J. Rovnyak et H. S. V. de Snoo. « Realization and Factorization in Reproducing Kernel Pontryagin Spaces ». Dans Operator Theory, System Theory and Related Topics, 43–65. Basel : Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8247-7_3.
Texte intégralLi, Fangfang, Guandong Xu, Longbing Cao, Xiaozhong Fan et Zhendong Niu. « CGMF : Coupled Group-Based Matrix Factorization for Recommender System ». Dans Lecture Notes in Computer Science, 189–98. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41230-1_16.
Texte intégralActes de conférences sur le sujet "Factorization system"
Hopf, F. A., et C. M. Bowden. « Heuristic Model for Fluctuations in Mirrorless Optical Bistability ». Dans Optical Bistability. Washington, D.C. : Optica Publishing Group, 1985. http://dx.doi.org/10.1364/obi.1985.we7.
Texte intégralBadawy, Mohammad Osama, Yasser Y. Hanafy et Ramy Eltarras. « LU factorization using multithreaded system ». Dans 2012 22nd International Conference on Computer Theory and Applications (ICCTA). IEEE, 2012. http://dx.doi.org/10.1109/iccta.2012.6523540.
Texte intégralJayathilaka, Dineth Keshawa, Gayumi Nimesha Kottage, Kapuliyanage Chasika Chankuma, Gamage Upeksha Ganegoda et Thanuja Sandanayake. « Hybrid Weight Factorization Recommendation System ». Dans 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE, 2018. http://dx.doi.org/10.1109/icter.2018.8615467.
Texte intégralZhu, Jianhao, Wenming Ma et Yulong Song. « Attentive Matrix Factorization for Recommender System ». Dans 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2020. http://dx.doi.org/10.1109/cisp-bmei51763.2020.9263558.
Texte intégralYang, Wei Feng, Min Wang et Zhou Chen. « Fast Probabilistic Matrix Factorization for recommender system ». Dans 2014 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2014. http://dx.doi.org/10.1109/icma.2014.6885990.
Texte intégralReshak, Kaiser A., Ban N. Dhannoon et Zainab N. Sultani. « Hybrid recommender system based on matrix factorization ». Dans THE SECOND INTERNATIONAL SCIENTIFIC CONFERENCE (SISC2021) : College of Science, Al-Nahrain University. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0118335.
Texte intégralNiu, Shaohua, et D. Grant Fisher. « MIMO System Identification using Augmented UD Factorization ». Dans 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791462.
Texte intégralZhou, Bowen, et Raymond Wong. « Effective Matrix Factorization for Online Rating Prediction ». Dans Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2017. http://dx.doi.org/10.24251/hicss.2017.144.
Texte intégralSantos, Ricardo, Renan Marks, Rafael Alves, Felipe Araujo et Renato Santos. « Instruction decoders based on pattern factorization ». Dans 2015 28th IEEE International System-on-Chip Conference (SOCC). IEEE, 2015. http://dx.doi.org/10.1109/socc.2015.7406936.
Texte intégralSimsekli, U., T. Birdal, E. Koc et A. T. Cemgil. « A factorization based recommender system for online services ». Dans 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531312.
Texte intégralRapports d'organisations sur le sujet "Factorization system"
Kurzak, Jakub, Pitior Luszczek, Mathieu Faverge et Jack Dongarra. LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System. Office of Scientific and Technical Information (OSTI), mars 2012. http://dx.doi.org/10.2172/1173291.
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