Academic literature on the topic 'MM models'
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Journal articles on the topic "MM models"
Zhou, Hua, Liuyi Hu, Jin Zhou, and Kenneth Lange. "MM Algorithms for Variance Components Models." Journal of Computational and Graphical Statistics 28, no. 2 (March 9, 2019): 350–61. http://dx.doi.org/10.1080/10618600.2018.1529601.
Full textChen, Huajie, Christoph Ortner, and Yangshuai Wang. "QM/MM Methods for Crystalline Defects. Part 3: Machine-Learned MM Models." Multiscale Modeling & Simulation 20, no. 4 (December 20, 2022): 1490–518. http://dx.doi.org/10.1137/21m1441122.
Full textSánchez, José David Vega, Luis Urquiza-Aguiar, and Martha Cecilia Paredes Paredes. "Fading Channel Models for mm-Wave Communications." Electronics 10, no. 7 (March 27, 2021): 798. http://dx.doi.org/10.3390/electronics10070798.
Full textHunter, David R. "MM algorithms for generalized Bradley-Terry models." Annals of Statistics 32, no. 1 (February 2003): 384–406. http://dx.doi.org/10.1214/aos/1079120141.
Full textSanchez, Eric, Haiming Chen, and James R. Berenson. "In vivo models of multiple myeloma (MM)." Biochemical Pharmacology 89, no. 3 (June 2014): 313–20. http://dx.doi.org/10.1016/j.bcp.2014.03.013.
Full textSARC European Project. "Parallel Programming Models for Heterogeneous Multicore Architectures." IEEE Micro 30, no. 5 (September 2010): 42–53. http://dx.doi.org/10.1109/mm.2010.94.
Full textSingh, Abhayendra, Satish Narayanasamy, Daniel Marino, Todd Millstein, and Madanlal Musuvathi. "A Safety-First Approach to Memory Models." IEEE Micro 33, no. 3 (May 2013): 96–104. http://dx.doi.org/10.1109/mm.2013.50.
Full textWarner, W. S. "Creating digital terrain models from 35 mm PHOTOGRAPHY." Photogrammetric Record 13, no. 74 (August 26, 2006): 249–55. http://dx.doi.org/10.1111/j.1477-9730.1989.tb00676.x.
Full textJames, Jonathan. "MM Algorithm for General Mixed Multinomial Logit Models." Journal of Applied Econometrics 32, no. 4 (June 20, 2016): 841–57. http://dx.doi.org/10.1002/jae.2532.
Full textForte, Santiago, and Lidija Lovreta. "Endogenizing exogenous default barrier models: The MM algorithm." Journal of Banking & Finance 36, no. 6 (June 2012): 1639–52. http://dx.doi.org/10.1016/j.jbankfin.2012.01.010.
Full textDissertations / Theses on the topic "MM models"
GRECO, CLAUDIO. "A DFT and QM/MM Investigation on Models Related to the [FeFe]-Hydrogenase Active Site." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2007. http://hdl.handle.net/10281/45775.
Full textWalker, Christina H. "Monte Carlo radiation transfer studies of protoplanetary environments." Thesis, University of St Andrews, 2007. http://hdl.handle.net/10023/218.
Full textLange, Adrian W. "Multi-layer Methods for Quantum Chemistry in the Condensed Phase: Combining Density Functional Theory, Molecular Mechanics, and Continuum Solvation Models." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1329752615.
Full textCaricato, Marco. "Theoretical Models to describe Time-Dependent and Nonequilibrium Solvation." Doctoral thesis, Scuola Normale Superiore, 2005. http://hdl.handle.net/11384/85801.
Full textHuynh, Bao Tuyen. "Estimation and feature selection in high-dimensional mixtures-of-experts models." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC237.
Full textThis thesis deals with the problem of modeling and estimation of high-dimensional MoE models, towards effective density estimation, prediction and clustering of such heterogeneous and high-dimensional data. We propose new strategies based on regularized maximum-likelihood estimation (MLE) of MoE models to overcome the limitations of standard methods, including MLE estimation with Expectation-Maximization (EM) algorithms, and to simultaneously perform feature selection so that sparse models are encouraged in such a high-dimensional setting. We first introduce a mixture-of-experts’ parameter estimation and variable selection methodology, based on l1 (lasso) regularizations and the EM framework, for regression and clustering suited to high-dimensional contexts. Then, we extend the method to regularized mixture of experts models for discrete data, including classification. We develop efficient algorithms to maximize the proposed l1 -penalized observed-data log-likelihood function. Our proposed strategies enjoy the efficient monotone maximization of the optimized criterion, and unlike previous approaches, they do not rely on approximations on the penalty functions, avoid matrix inversion, and exploit the efficiency of the coordinate ascent algorithm, particularly within the proximal Newton-based approach
Pérez, María del Carmen Marín. "Benchmarking and applications of a computational photobiology tool for design of novel and highly fluorescent rhodopsin proteins." Doctoral thesis, Università di Siena, 2019. http://hdl.handle.net/11365/1070289.
Full textMohamed, Imran. "The application of negative refractive index metamaterials to mm and sub-mm wavelength instrumentation." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/the-application-of-negative-refractive-index-metamaterials-to-mm-and-submm-wavelength-instrumentation(2f650eb9-27bb-4865-81a5-d7f086c6cf22).html.
Full textLaino, Teodoro. "Multigrid QM/MM approaches in ab initio molecular dynamics." Doctoral thesis, Scuola Normale Superiore, 2006. http://hdl.handle.net/11384/85799.
Full textOrrego, Rodrigo Barbosa Sousa. "CORE-MM: um modelo de crowdsourcing para cidades inteligentes baseado em gamificação." Universidade do Vale do Rio dos Sinos, 2017. http://www.repositorio.jesuita.org.br/handle/UNISINOS/6813.
Full textMade available in DSpace on 2017-12-05T13:53:52Z (GMT). No. of bitstreams: 1 Rodrigo Barbosa Sousa Orrego_.pdf: 1535012 bytes, checksum: b6e744cff7702628ea69ae095d198122 (MD5) Previous issue date: 2017-07-31
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O surgimento de cidades que utilizam conceitos de tecnologia de ponta em várias áreas tem sido possibilitado graças aos progressos no desenvolvimento de sistemas de tecnologia da informação e comunicação. Avanços nas tecnologias de comunicação wireless e da tecnológica da informação e comunicação em geral oferecem oportunidades para a criação de um modelo de crowdsourcing, para registrar e atualizar recursos de uma cidade, baseado em gamificação para cidades inteligentes, objetivando ampliar a independência das pessoas que necessitam dos recursos das cidades e melhorar a qualidade de vida dos cidadãos. Esta dissertação aborda o problema do gerenciamento de recursos para cidades inteligentes utilizando crowdsourcing combinada com gamificação. Foi proposto um modelo, chamado CORE-MM, que permite a utilização de técnicas de crowdsourcing para que o gerenciamento de recursos das cidades seja feito pelos próprios cidadãos interessados, sem depender obrigatoriamente de uma organização ou da administração pública, e técnicas de gamificação para que este comportamento de participação neste processo de gerenciamento de recursos seja incentivado. O CORE-MM propõe o uso de crowdsourcing integrado com gamificação, para gerenciar recursos de uma cidade inteligente, com dois objetivos interdependentes: o de motivar a utilização do sistema pelos usuários, e também o de incentivar sua participação no compartilhamento e gerenciamento de informações. O nome CORE-MM significa COllaborative REsource Management Model, que em português significa Modelo de Gerenciamento Colaborativo de Recursos.
The emergence of cities that use state-of-the-art technology concepts in various areas has been made possible by advances in the development of information and communication technology systems. Advances in wireless communication technologies and information and communication technologies in general offer opportunities for creating a crowdsourcing model, based on gamification for smart cities, to manage cities resources, aiming to broaden the independence of the people that need the cities resources and improve the quality of life of citizens. This study addresses the problem of resource management for smart cities using crowdsourcing combined with gamification. A model called CORE-MM has been proposed by this study, which allows the use of crowdsourcing techniques so that the management of cities resources is done by the citizens themselves, without necessarily having to rely on an organization or public administration, and techniques of gamification to encourage this behavior of participation in this resource management process. CORE-MM proposes the use of crowdsourcing integrated with gamification to manage the resources of an intelligent city, with two interdependent objectives: to motivate the use of the system by the users, and also to encourage their participation in the sharing and management of information. The name CORE-MM stands for COllaborative REsource Management Model.
Rahman, Farhana. "Performance evaluation of 4.75-mm NMAS Superpave mixture." Diss., Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/3893.
Full textBooks on the topic "MM models"
I, Badaev I͡U︡, and NIAT, eds. Invariantnoe modelirovanie i raschet aėrodinamicheskikh poverkhnosteĭ agregatov LA: Metodicheskie materialy, MM 1.4.1945-89. [Soviet Union]: NIAT, 1990.
Find full textMoller, Patricio Greve. Fusil Chileno Comblain II Modelo 1871 Calibre 11x50 R Mm. Lulu Press, Inc., 2018.
Find full textCompany, Seeburg. Ami Model MM-5 "Presidential" of 1970-71 Service Manual. A.M.C. Corporation, 1986.
Find full textSamuels, Richard. Massive Modularity. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0004.
Full textCompany, Seeburg. Ami Model MM-5 "Presidential Line" of 1970-71 Parts Catalog. A.M.C. Corporation, 1986.
Find full textResponse of the Wayne State Thorax Model With Fabric Vest to a 9-mm Bullet. Storming Media, 2003.
Find full textQuispe, Nelly, and Betsy Quispe. Evaluación de tres técnicas de fotopolimerización con diodo emisor de luz en la resistencia compresiva de resina compuesta de nanopartículas. Instituto Universitario de Innovación Ciencia y Tecnología Inudi Perú, 2022. http://dx.doi.org/10.35622/inudi.b.010.
Full textUnited States War Dept. Range Tables for French 75-/mm. Gun, Model 1897. Summary Range Tables and Charts for the Calculation of the Total Variation in Range Corresponding to Given Firing Conditions. Creative Media Partners, LLC, 2018.
Find full textPirson, Yves, and Dominique Chauveau. Management of intracranial aneurysms. Edited by Neil Turner. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0310.
Full textZydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.
Full textBook chapters on the topic "MM models"
Antoniades, Pericles. "SOA, Maturity Models, SOA MM and Relevant Work." In SOA Maturity Model, 9–17. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02453-0_3.
Full textSaura, Patricia, Michael Röpke, Ana P. Gamiz-Hernandez, and Ville R. I. Kaila. "Quantum Chemical and QM/MM Models in Biochemistry." In Methods in Molecular Biology, 75–104. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9608-7_4.
Full textSinger, David, Dorian Rohner, and Dominik Henrich. "Robot-Based Creation of Complete 3D Workpiece Models." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021, 289–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_24.
Full textOlivucci, Massimo, Ioannis N. Ragazos, Michael A. Robb, and F. Bernardi. "A Strategy for Modelling of Chemical Reactivity using MC-SCF and MM-VB Methods." In Molecular Aspects of Biotechnology: Computational Models and Theories, 237–50. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2538-3_10.
Full textPedraza-González, Laura, María del Carmen Marín, Luca De Vico, Xuchun Yang, and Massimo Olivucci. "On the Automatic Construction of QM/MM Models for Biological Photoreceptors: Rhodopsins as Model Systems." In Challenges and Advances in Computational Chemistry and Physics, 1–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57721-6_1.
Full textPowell, Alan A., and Christopher W. Murphy. "Distinguishing Features of MM." In Inside a Modern Macroeconometric Model, 5–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59069-6_2.
Full textPowell, Alan A., and Christopher W. Murphy. "Principal Mechanisms in MM." In Inside a Modern Macroeconometric Model, 15–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59069-6_3.
Full textAnerella, M., J. Cottingham, G. Ganetis, M. Garber, A. Ghosh, A. Greene, R. Gupta, et al. "Construction and Test Results from 15 m-Long, 50 mm Aperture SSC Collider Dipole Models." In Supercollider 4, 535–49. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3454-9_68.
Full textHofer, Thomas S. "Probing Proton Transfer Reactions in Molecular Dynamics—A Crucial Prerequisite for QM/MM Simulations Using Dissociative Models." In Challenges and Advances in Computational Chemistry and Physics, 115–34. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21626-3_4.
Full textUrsavaş, Ömer Faruk. "Motivational Model (MM)." In Springer Texts in Education, 93–110. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10846-4_5.
Full textConference papers on the topic "MM models"
Jain, Ramesh. "Session details: Event models." In MM '10: ACM Multimedia Conference. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3254530.
Full textZhou, Jingren. "Large-scale Multi-Modality Pretrained Models." In MM '21: ACM Multimedia Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3474085.3480241.
Full textKoupil, Pavel, Martin Svoboda, and Irena Holubova. "MM-cat: A Tool for Modeling and Transformation of Multi-Model Data using Category Theory." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00098.
Full textYang, Le, Dongmei Jiang, Xiaohan Xia, Ercheng Pei, Meshia Cédric Oveneke, and Hichem Sahli. "Multimodal Measurement of Depression Using Deep Learning Models." In MM '17: ACM Multimedia Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3133944.3133948.
Full textGao, Xin, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, and Mingli Song. "Shape Controllable Virtual Try-on for Underwear Models." In MM '21: ACM Multimedia Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3474085.3475210.
Full textAmer, Mohamed R., Ajay Divakaran, Shih-Fu Chang, and Nicu Sebe. "2nd Workshop on Computational Models of Social Interactions." In MM '15: ACM Multimedia Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2733373.2806412.
Full textInoue, Nakamasa, and Koichi Shinoda. "n-gram Models for Video Semantic Indexing." In MM '14: 2014 ACM Multimedia Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2647868.2654961.
Full textChen, Huizhong, Matthew Cooper, Dhiraj Joshi, and Bernd Girod. "Multi-modal Language Models for Lecture Video Retrieval." In MM '14: 2014 ACM Multimedia Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2647868.2654964.
Full textKim, Jaebok, Gwenn Englebienne, Khiet P. Truong, and Vanessa Evers. "Deep Temporal Models using Identity Skip-Connections for Speech Emotion Recognition." In MM '17: ACM Multimedia Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3123266.3123353.
Full textWang, Meng, and Yi Fang. "Global Consistent Shape Correspondence for Efficient and Effective Active Shape Models." In MM '16: ACM Multimedia Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2964284.2967283.
Full textReports on the topic "MM models"
Blaisdell, George L., Terry D. Melendy, and Marin N. Blaisdell. Ballistic protection using snow. U.S. Army Engineer Research and Development Center, May 2022. http://dx.doi.org/10.21079/11681/44360.
Full textMoton, Casey. Littoral Combat Ship Mission Modules (LCS MM). Fort Belvoir, VA: Defense Technical Information Center, November 2015. http://dx.doi.org/10.21236/ad1019489.
Full textDemchyna, Bohdan, and Yaroslav Shydlovskyi. Recommendations for Designing Wooden Arches on Metal-toothed Plates. Intellectual Archive, March 2021. http://dx.doi.org/10.32370/ia_2021_03_18.
Full textGagnon, Joseph N., Lalji Pavagadhi, and Duane Scarborough. 155-MM Artillery Rearm Module 2, Unicharge. Phase 2. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada279852.
Full textDiehl, Matthew, David Hoyt, Robert McLane, Richard Saganich, and Stanley Turner. 155-MM Artillery Rearm Module with Liquid Propellant, Phase 1. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada280213.
Full textPeters, C. Mechanical test results on Dipole model C-1 25 mm aluminum collars. Office of Scientific and Technical Information (OSTI), February 1985. http://dx.doi.org/10.2172/5224978.
Full textEis, Motti. 120-MM Cargo Mortar Bombs-Complying with the Modern Battlefield Needs. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada385870.
Full textAursjø, Olav, Aksel Hiorth, Alexey Khrulenko, and Oddbjørn Mathias Nødland. Polymer flooding: Simulation Upscaling Workflow. University of Stavanger, November 2021. http://dx.doi.org/10.31265/usps.203.
Full textMinnicino, Michael. XM982 155-mm Artillery Projectile Container Support System: Finite-Element Model Development and Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada442026.
Full textWarrick, Arthur, Uri Shani, Dani Or, and Muluneh Yitayew. In situ Evaluation of Unsaturated Hydraulic Properties Using Subsurface Points. United States Department of Agriculture, October 1999. http://dx.doi.org/10.32747/1999.7570566.bard.
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