Academic literature on the topic 'Modeling algorithms'
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Journal articles on the topic "Modeling algorithms"
Barbulescu, L., A. E. Howe, L. D. Whitley, and M. Roberts. "Understanding Algorithm Performance on an Oversubscribed Scheduling Application." Journal of Artificial Intelligence Research 27 (December 28, 2006): 577–615. http://dx.doi.org/10.1613/jair.2038.
Full textAgapie, Alexandru. "Theoretical Analysis of Mutation-Adaptive Evolutionary Algorithms." Evolutionary Computation 9, no. 2 (June 2001): 127–46. http://dx.doi.org/10.1162/106365601750190370.
Full textMerkle, Daniel, and Martin Middendorf. "Modeling the Dynamics of Ant Colony Optimization." Evolutionary Computation 10, no. 3 (September 2002): 235–62. http://dx.doi.org/10.1162/106365602760234090.
Full textMerheb, Abdel-Razzak, Hassan Noura, and François Bateman. "Mathematical Modeling of Ecological Systems Algorithm." Lebanese Science Journal 22, no. 2 (March 2, 2022): 209–31. http://dx.doi.org/10.22453/lsj-022.2.209-231.
Full textBeattie, Ian D. "Modeling Operations and Algorithms." Arithmetic Teacher 33, no. 6 (February 1986): 23–28. http://dx.doi.org/10.5951/at.33.6.0023.
Full textVose, Michael D. "Modeling Simple Genetic Algorithms." Evolutionary Computation 3, no. 4 (December 1995): 453–72. http://dx.doi.org/10.1162/evco.1995.3.4.453.
Full textLi, Jing Zhu, Qian Li, Tai Yu Liu, and Wei Hong Niu. "Data Mining: Modeling, Algorithms, Applications and Systems." Advanced Materials Research 926-930 (May 2014): 2786–89. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2786.
Full textSTEWART, A. JAMES. "LOCAL ROBUSTNESS AND ITS APPLICATION TO POLYHEDRAL INTERSECTION." International Journal of Computational Geometry & Applications 04, no. 01 (March 1994): 87–118. http://dx.doi.org/10.1142/s0218195994000070.
Full textWang, Yang, Shi Jun Ji, and Li Jun Yang. "General Subdivision Inferred from Catmull-Clark Subdivision Algorithm." Materials Science Forum 532-533 (December 2006): 789–92. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.789.
Full textPotapov, Viktor S., and Sergei M. Gushansky. "Development of a technique for modeling entangled quantum computations that are applicable in Simon’s quantum algorithm." Informatization and communication, no. 3 (May 5, 2020): 66–70. http://dx.doi.org/10.34219/2078-8320-2020-11-3-66-70.
Full textDissertations / Theses on the topic "Modeling algorithms"
Frank, Matthew I. "LoPC-- modeling contention in parallel algorithms." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/47439.
Full textDeBrunner, Linda Sumners. "Modeling reconfiguration algorithms for regular architecture." Diss., Virginia Tech, 1991. http://hdl.handle.net/10919/29254.
Full textPh. D.
Zhang, Wangyang. "IC Spatial Variation Modeling: Algorithms and Applications." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/136.
Full textYee, Seung Hee. "Three algorithms for planar-patch terrain modeling." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23136.
Full textChen, Lin. "Causal modeling in quantitative genomics /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/9577.
Full textBosson, Maël. "Adaptive algorithms for computational chemistry and interactive modeling." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00846458.
Full textLam, Warren Michael. "Modeling algorithms for a class of fractal signals." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/31034.
Full textIncludes bibliographical references (leaves 86-87).
by Warren Michael Lam.
M.S.
Stuhlmüller, Andreas. "Modeling cognition with probabilistic programs : representations and algorithms." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100860.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 167-176).
This thesis develops probabilistic programming as a productive metaphor for understanding cognition, both with respect to mental representations and the manipulation of such representations. In the first half of the thesis, I demonstrate the representational power of probabilistic programs in the domains of concept learning and social reasoning. I provide examples of richly structured concepts, defined in terms of systems of relations, subparts, and recursive embeddings, that are naturally expressed as programs and show initial experimental evidence that they match human generalization patterns. I then proceed to models of reasoning about reasoning, a domain where the expressive power of probabilistic programs is necessary to formalize our intuitive domain understanding due to the fact that, unlike previous formalisms, probabilistic programs allow conditioning to be represented in a model, not just applied to a model. I illustrate this insight with programs that model nested reasoning in game theory, artificial intelligence, and linguistics. In the second half, I develop three inference algorithms with the dual intent of showing how to efficiently compute the marginal distributions defined by probabilistic programs, and providing building blocks for process-level accounts of human cognition. First, I describe a Dynamic Programming algorithm for computing the marginal distribution of discrete probabilistic programs by compiling to systems of equations and show that it can make inference in models of "reasoning about reasoning" tractable by merging and reusing subcomputations. Second, I introduce the setting of amortized inference and show how learning inverse models lets us leverage samples generated by other inference algorithms to compile probabilistic models into fast recognition functions. Third, I develop a generic approach to coarse-to-fine inference in probabilistic programs and provide evidence that it can speed up inference in models with large state spaces that have appropriate hierarchical structure. Finally, I substantiate the claim that probabilistic programming is a productive metaphor by outlining new research questions that have been opened up by this line of investigation.
by Andreas Stuhlmüller.
Ph. D.
Chaudhari, Soumee. "Modeling distance functions induced by face recognition algorithms." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000516.
Full textHedberg, Vilhelm. "Evaluation of Hair Modeling, Simulation and Rendering Algorithms for a VFX Hair Modeling System." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-65592.
Full textBooks on the topic "Modeling algorithms"
Wilson, Caroline L. Clustering algorithms and mathematical modeling. Hauppauge, N.Y: Nova Science Publishers, 2010.
Find full textAgnarsson, Geir. Graph theory: Modeling, applications, and algorithms. Upper Saddle River, N.J: Pearson/Prentice Hall, 2007.
Find full textGeorge, Betsy. Spatio-temporal Networks: Modeling and Algorithms. New York, NY: Springer New York, 2013.
Find full textE, Farin Gerald, Society for Industrial and Applied Mathematics., and SIAM Conference on Geometric Modeling and Robotics (1985 : Albany, N.Y.), eds. Geometric modeling: Algorithms and new trends. Philadelphia, Pa: Society for Industrial and Applied Mathematics, 1987.
Find full textGrigoʹevich, Ivakhnenko Alekseĭ, ed. Inductive learning algorithms for complex systems modeling. Boca Raton: CRC Press, 1994.
Find full textCai, Yang. Digital human modeling: Trends in human algorithms. Berlin: Springer, 2008.
Find full textCai, Yang. Digital human modeling: Trends in human algorithms. Berlin: Springer, 2008.
Find full textYee, Seung Hee. Three algorithms for planar-patch terrain modeling. Monterey, Calif: Naval Postgraduate School, 1988.
Find full textDigital human modeling: Trends in human algorithms. Berlin: Springer, 2008.
Find full textMariño, Pablo Pavón. Optimization of Computer Networks - Modeling and Algorithms. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119114840.
Full textBook chapters on the topic "Modeling algorithms"
Suthaharan, Shan. "Modeling and Algorithms." In Machine Learning Models and Algorithms for Big Data Classification, 123–43. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7641-3_6.
Full textLeenaerts, Domine M. W., and Wim M. G. Van Bokhoven. "Solution Algorithms." In Piecewise Linear Modeling and Analysis, 79–104. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-6190-0_3.
Full textKulkarni, Akshay R., Adarsha Shivananda, Anoosh Kulkarni, and V. Adithya Krishnan. "Statistical Univariate Modeling." In Time Series Algorithms Recipes, 33–66. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8978-5_2.
Full textBabuška, Robert. "Fuzzy Clustering Algorithms." In Fuzzy Modeling for Control, 49–74. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4868-9_3.
Full textMartens, Luc. "Measurement-Based Modeling Algorithms." In Electronic Packaging and Interconnects Series, 97–154. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5623-7_5.
Full textBoyadjiev, Christo, Maria Doichinova, Boyan Boyadjiev, and Petya Popova-Krumova. "Multi-step Modeling Algorithms." In Modeling of Column Apparatus Processes, 259–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89966-4_9.
Full textBoyadjiev, Christo, Maria Doichinova, Boyan Boyadjiev, and Petya Popova-Krumova. "Multi-step Modeling Algorithms." In Modeling of Column Apparatus Processes, 255–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28259-6_9.
Full textSpellman, Frank R. "Environmental Modeling and Algorithms." In Handbook of Environmental Engineering, 113–30. 2nd ed. New York: CRC Press, 2023. http://dx.doi.org/10.1201/9781003298601-4.
Full textBergman, David, Andre A. Cire, Willem-Jan van Hoeve, and John Hooker. "Recursive Modeling." In Artificial Intelligence: Foundations, Theory, and Algorithms, 137–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42849-9_8.
Full textGao, Yuehua, Peng Zhao, Lih-Sheng Turng, and Huamin Zhou. "Intelligent Optimization Algorithms." In Computer Modeling for Injection Molding, 283–92. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118444887.ch10.
Full textConference papers on the topic "Modeling algorithms"
Schmidt, David P., and Christopher J. Rutland. "Reducing Grid Dependency in Droplet Collision Modeling." In ASME 2001 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-ice-395.
Full text"MODELING INTERNAL RADIATION THERAPY." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003172202280233.
Full textHe, Li, Qi Meng, Wei Chen, Zhi-Ming Ma, and Tie-Yan Liu. "Differential Equations for Modeling Asynchronous Algorithms." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/307.
Full textShamin, Evgeniy, Dmitriy Zhevnenko, Fedor Meshchaninov, Vladislav Kozhevnikov, and Evgeniy Gornev. "DETERMINATION OF THE INITIAL GUESS FOR THE PROBLEM OF MEMRISTOR MODEL PARAMETERS EXTRACTION USING MACHINE LEARNING ALGORITHMS." In Mathematical modeling in materials science of electronic component. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1539.mmmsec-2020/127-130.
Full textReiner, Jacob. "Generic Development Environment for INS Algorithms." In Modeling and Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4186.
Full textKAO, BEN, and MINGHUA ZHANG. "ALGORITHMS FOR MINING FREQUENT SEQUENCES." In Advances in Data Mining and Modeling. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704955_0001.
Full textChaturantabut, Saifon. "Nonlinear reduced-order modeling with monotonicity property." In NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA–2016): Proceedings of the 2nd International Conference “Numerical Computations: Theory and Algorithms”. Author(s), 2016. http://dx.doi.org/10.1063/1.4965383.
Full textMartyanov, A. S., D. V. Korobatov, and E. A. Sirotkin. "Modeling of battery charging algorithms." In 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2016. http://dx.doi.org/10.1109/icieam.2016.7911469.
Full textKrömer, Pavel, Jan Plato, and Václav Snáel. "Modeling Permutations for Genetic Algorithms." In 2009 International Conference of Soft Computing and Pattern Recognition. IEEE, 2009. http://dx.doi.org/10.1109/socpar.2009.31.
Full textSingh, Jaswinder Pal, Edward Rothberg, and Anoop Gupta. "Modeling communication in parallel algorithms." In the sixth annual ACM symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/181014.181329.
Full textReports on the topic "Modeling algorithms"
Beattie, Christopher A., Jeffrey T. Borggaard, Serkan Gugercin, and Traian Iliescu. High Performance Parallel Algorithms for Improved Reduced-Order Modeling. Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada483934.
Full textFringer, Oliver B. Development of Improved Algorithms and Multiscale Modeling Capability with SUNTANS. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada590685.
Full textFringer, Oliver B. Development of Improved Algorithms and Multiscale Modeling Capability with SUNTANS. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada601191.
Full textFringer, Oliver B. Development of Improved Algorithms and Multiscale Modeling Capability with SUNTANS. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada557106.
Full textLittlefield, R. J. Modeling node bandwidth limits and their effects on vector combining algorithms. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/5727485.
Full textLittlefield, R. J. Modeling node bandwidth limits and their effects on vector combining algorithms. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/10133355.
Full textBalanis, Constantine A., and Mark Frank. Modeling and Reconstruction Algorithms for Detection, Location, and Identification of Subsurface Anomalies. Fort Belvoir, VA: Defense Technical Information Center, June 1990. http://dx.doi.org/10.21236/ada224358.
Full textPirohov, Vladyslav M., Anna M. Horlo, and Iryna S. Mintii. Software development of the algorithm of adaptating of the website design for people with color-blindness. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2888.
Full textLiao, Wen-Jiao. Physics-Based Radiometric Signature Modeling and Detection Algorithms of Landmines Using Electro-Optical Sensors. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada443784.
Full textLeimkuhler, B., J. Hermans, and R. D. Skeel. Workshop on algorithms for macromolecular modeling. Final project report, June 1, 1994--May 31, 1995. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/88630.
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