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Статті в журналах з теми "Factorization system"
Casalino, G., N. Del Buono, and 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.
Повний текст джерелаZheng, Weijian, Fengguang Song, Lan Lin, and 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 (March 2018): 1850004. http://dx.doi.org/10.1142/s0129626418500044.
Повний текст джерелаMore, Tejashree, and Prof Surekha Kohle. "Recommendation System Using Matrix Factorization." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (September 30, 2022): 355–59. http://dx.doi.org/10.22214/ijraset.2022.46615.
Повний текст джерелаSadeghi, J., Jalil Naji, and 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.
Повний текст джерелаEchi, Othman, Sami Lazaar, and Mohamed Oueld Abdallahi. "On some orthogonal factorization systems." Journal of Algebra and Its Applications 14, no. 08 (April 27, 2015): 1550120. http://dx.doi.org/10.1142/s0219498815501200.
Повний текст джерелаEven, Valérian, and Marino Gran. "On factorization systems for surjective quandle homomorphisms." Journal of Knot Theory and Its Ramifications 23, no. 11 (October 2014): 1450060. http://dx.doi.org/10.1142/s0218216514500606.
Повний текст джерелаOng, Kyle, Kok-Why Ng, and Su-Cheng Haw. "Neural matrix factorization++ based recommendation system." F1000Research 10 (October 25, 2021): 1079. http://dx.doi.org/10.12688/f1000research.73240.1.
Повний текст джерелаRuchitha, K. Venkata. "Book Recommendation System using Matrix Factorization." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4578–82. http://dx.doi.org/10.22214/ijraset.2021.36025.
Повний текст джерелаChawla, Tanvi. "FFT Factorization Technique for OFDM System." International Journal of Computer Applications 54, no. 5 (September 25, 2012): 36–40. http://dx.doi.org/10.5120/8564-2161.
Повний текст джерелаAlqadri, Mowafaq, Haslinda Ibrahim, and Sharmila Karim. "On Cyclic Triple System and Factorization." Journal of Engineering and Applied Sciences 14, no. 21 (October 31, 2019): 7928–33. http://dx.doi.org/10.36478/jeasci.2019.7928.7933.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаTabari, Michel, and 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.
Повний текст джерелаRekommendationssystem 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.
Повний текст джерелаGoda, Sai Bharath. "Recommender system for recipes." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17741.
Повний текст джерелаDepartment 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, and 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.
Повний текст джерелаBroman, 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.
Повний текст джерелаSundaramurthy, 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.
Повний текст джерелаJohansson, 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.
Повний текст джерелаThis 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.
Повний текст джерелаWe 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.
Повний текст джерелаКниги з теми "Factorization system"
Vidyasagar, M. Control system synthesis: A factorization approach. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.
Знайти повний текст джерелаControl system synthesis: A factorization approach. Cambridge, Mass: MIT Press, 1985.
Знайти повний текст джерелаGohberg, Israel, Nenad Manojlovic, and António Ferreira dos Santos, eds. Factorization and Integrable Systems. Basel: Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8003-9.
Повний текст джерелаNaik, Vijay K. Data traffic reduction schemes for Cholesky factorization on asynchronous multiprocessor systems. Hampton, Va: ICASE, 1989.
Знайти повний текст джерелаSymeonidis, Panagiotis, and 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.
Повний текст джерелаJonathan, Wu Q. M., ed. Guide to three dimensional structure and motion factorization. London: Springer, 2011.
Знайти повний текст джерелаRothberg, Edward. Improved load distribution in parallel sparse Cholesky factorization. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.
Знайти повний текст джерела1928-, Gohberg I., Manojlovic Nenad 1962-, and Santos, António Ferreira dos, 1939-, eds. Factorization and integrable systems: Summer school in Faro, Portugal, September 2000. Boston: Birkhäuser, 2003.
Знайти повний текст джерелаGohberg, Israel. Factorization and Integrable Systems: Summer School in Faro, Portugal, September 2000. Basel: Birkhäuser Basel, 2003.
Знайти повний текст джерелаBurns, John A. Factorization and reduction methods for optimal control of distributed parameter systems. Hampton, Va: ICASE, 1985.
Знайти повний текст джерелаЧастини книг з теми "Factorization system"
Bressoud, David M. "The RSA Public Key Crypto-System." In 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.
Повний текст джерелаLekshmi Priya, T., and Harikumar Sandhya. "Matrix Factorization for Recommendation System." In Advances in Intelligent Systems and Computing, 267–80. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3514-7_22.
Повний текст джерелаWu, Mu-En, Raylin Tso, and Hung-Min Sun. "On the Improvement of Fermat Factorization." In Network and System Security, 380–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34601-9_29.
Повний текст джерелаWang, Yanghao, Hailong Sun, and Richong Zhang. "AdaMF:Adaptive Boosting Matrix Factorization for Recommender System." In Web-Age Information Management, 43–54. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08010-9_7.
Повний текст джерелаZhang, Ronghua, Zhenlong Zhu, Changzheng Liu, Yuhua Li, and Ruixuan Li. "Deep Neural Factorization Machine for Recommender System." In Knowledge Science, Engineering and Management, 273–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10986-7_22.
Повний текст джерелаDong, Shi-Hai. "CONTROLLABILITY OF QUANTUM SYSTEM FOR THE PT-LIKE POTENTIAL WITH DYNAMIC GROUP SU(1, 1)." In Factorization Method in Quantum Mechanics, 229–34. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5796-0_20.
Повний текст джерелаKunaver, Matevž, and Iztok Fajfar. "Grammatical Evolution in a Matrix Factorization Recommender System." In Artificial Intelligence and Soft Computing, 392–400. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39378-0_34.
Повний текст джерелаZhou, Juming, Dong Wang, Yue Ding, and Litian Yin. "SocialFM: A Social Recommender System with Factorization Machines." In Web-Age Information Management, 286–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39937-9_22.
Повний текст джерелаAlpay, D., A. Dijksma, J. Rovnyak, and H. S. V. de Snoo. "Realization and Factorization in Reproducing Kernel Pontryagin Spaces." In 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.
Повний текст джерелаLi, Fangfang, Guandong Xu, Longbing Cao, Xiaozhong Fan, and Zhendong Niu. "CGMF: Coupled Group-Based Matrix Factorization for Recommender System." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Factorization system"
Hopf, F. A., and C. M. Bowden. "Heuristic Model for Fluctuations in Mirrorless Optical Bistability." In Optical Bistability. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/obi.1985.we7.
Повний текст джерелаBadawy, Mohammad Osama, Yasser Y. Hanafy, and Ramy Eltarras. "LU factorization using multithreaded system." In 2012 22nd International Conference on Computer Theory and Applications (ICCTA). IEEE, 2012. http://dx.doi.org/10.1109/iccta.2012.6523540.
Повний текст джерелаJayathilaka, Dineth Keshawa, Gayumi Nimesha Kottage, Kapuliyanage Chasika Chankuma, Gamage Upeksha Ganegoda, and Thanuja Sandanayake. "Hybrid Weight Factorization Recommendation System." In 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE, 2018. http://dx.doi.org/10.1109/icter.2018.8615467.
Повний текст джерелаZhu, Jianhao, Wenming Ma, and Yulong Song. "Attentive Matrix Factorization for Recommender System." In 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.
Повний текст джерелаYang, Wei Feng, Min Wang, and Zhou Chen. "Fast Probabilistic Matrix Factorization for recommender system." In 2014 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2014. http://dx.doi.org/10.1109/icma.2014.6885990.
Повний текст джерелаReshak, Kaiser A., Ban N. Dhannoon, and Zainab N. Sultani. "Hybrid recommender system based on matrix factorization." In THE SECOND INTERNATIONAL SCIENTIFIC CONFERENCE (SISC2021): College of Science, Al-Nahrain University. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0118335.
Повний текст джерелаNiu, Shaohua, and D. Grant Fisher. "MIMO System Identification using Augmented UD Factorization." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791462.
Повний текст джерелаZhou, Bowen, and Raymond Wong. "Effective Matrix Factorization for Online Rating Prediction." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2017. http://dx.doi.org/10.24251/hicss.2017.144.
Повний текст джерелаSantos, Ricardo, Renan Marks, Rafael Alves, Felipe Araujo, and Renato Santos. "Instruction decoders based on pattern factorization." In 2015 28th IEEE International System-on-Chip Conference (SOCC). IEEE, 2015. http://dx.doi.org/10.1109/socc.2015.7406936.
Повний текст джерелаSimsekli, U., T. Birdal, E. Koc, and A. T. Cemgil. "A factorization based recommender system for online services." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531312.
Повний текст джерелаЗвіти організацій з теми "Factorization system"
Kurzak, Jakub, Pitior Luszczek, Mathieu Faverge, and Jack Dongarra. LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1173291.
Повний текст джерела