المؤلفون: Väyrynen, Otto

المساهمون: Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences, Tampere University

مصطلحات موضوعية: Kalman-suodin, Bayes-päättely, Bayes-suodin, vakionopeusmalli, Tekniikan ja luonnontieteiden kandidaattiohjelma - Bachelor's Programme in Engineering and Natural Sciences, matematiikka, todennäköisyyslaskenta, mallintaminen, tilastotiede

وصف الملف: fulltext

Relation: https://trepo.tuni.fi/handle/10024/143737; URN:NBN:fi:tuni-202211248622

الاتاحة: https://trepo.tuni.fi/handle/10024/143737

المؤلفون: Hellsten, Kirsi

المساهمون: Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta, University of Helsinki, Faculty of Science, Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten

مصطلحات موضوعية: GWAS, biotilastotiede, bioinformatiikka, tilastotiede, genetiikka, lineaariset mallit, Bayes päättely, biostatistics, bioinformatics, statistics, genetics, linear models, Bayesian inference, Matematiikan ja tilastotieteen maisteriohjelma, Master's Programme in Mathematics and Statistics, Magisterprogrammet i matematik och statistik, Statistik

وصف الملف: application/pdf

Relation: URN:NBN:fi:hulib-202312134377; http://hdl.handle.net/10138/568590

الاتاحة: http://hdl.handle.net/10138/568590

المؤلفون: Parkkinen, Ville

المساهمون: fi=Maanpuolustuskorkeakoulu|sv=Försvarshögskolan|en=National Defence University, fi=Sotatekniikan laitos|sv=Institutionen för militärteknik|en=Department of Military Technology

مصطلحات موضوعية: Bayes-päättely, Bayes-verkot, koneoppiminen, tiedustelu, analyysi, bayesilainen menetelmä, menetelmät, arviointi, fi=sotatekniikka|sv=Militärteknik|en=Military Technology

وصف الملف: fulltext; true

Relation: https://www.doria.fi/handle/10024/187658; URN:NBN:fi-fe2023081094642

الاتاحة: https://www.doria.fi/handle/10024/187658

المؤلفون: Jälkö, Joonas

المساهمون: Kaski, Samuel, Prof., Aalto University, Department of Computer Science, Finland, Perustieteiden korkeakoulu, School of Science, Tietotekniikan laitos, Department of Computer Science, Probabilistic Machine Learning Group, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Computer science, differential privacy, approximate Bayesian inference, differentiaalinen yksityisyys, approksimatiivinen Bayes-päättely

وصف الملف: application/pdf

Relation: Aalto University publication series DOCTORAL THESES; 46/2023; [Publication 1]: Joonas Jälkö, Onur Dikmen and Antti Honkela. Differentially Private Variational Inference for Non-conjugate Models. In Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence (UAI 2017), Sydney, Australia, August 2017; [Publication 2]: Mikko Heikkilä, Joonas Jälkö, Onur Dikmen and Antti Honkela. Differentially Private Markov Chain Monte Carlo. In Advances in Neural Information Processing Systems 32 (NeurIPS 2019), Pages 4115-4125, Vancouver, Canada December 2019; [Publication 3]: Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela and Samuel Kaski. Privacy-preserving data sharing via probabilistic modeling. Patterns, Volume 2, Issue 7, 100271, July 2021. Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-202108048159. DOI:10.1016/j.patter.2021.100271; [Publication 4]: Joonas Jälkö, Lukas Prediger, Antti Honkela and Samuel Kaski. DPVIm: Differentially Private Variational Inference Improved. Submitted to a conference, October 2022; 1799-4942 (electronic); 1799-4934 (printed); 1799-4934 (ISSN-L); https://aaltodoc.aalto.fi/handle/123456789/120501; URN:ISBN:978-952-64-1211-5

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/120501

المؤلفون: Leppäaho, Eemeli

المساهمون: Klami, Arto, Perustieteiden korkeakoulu, Kaski, Samuel, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: bayesiläinen data-analyysi, faktorimallit, siirto-oppiminen, variationaalinen Bayes-päättely, Bayesian data analysis, factor models, transfer learning, variational inference

وصف الملف: application/pdf

Relation: https://aaltodoc.aalto.fi/handle/123456789/15248; URN:NBN:fi:aalto-201502261946

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/15248

المؤلفون: Heikkinen, Juha

المساهمون: Metsäntutkimuslaitos

مصطلحات موضوعية: Monte Carlo -menetelmä, ei-parametrinen Bayes-päättely, funktioiden estimointi

وصف الملف: false

Relation: Joint Statistical Meetings 1998 Abstract Book; http://jukuri.luke.fi/handle/10024/507466; Heikkinen, J. 1998. Curve and surface estimation using dynamic step functions. In: Joint Statistical Meetings 1998 Abstract Book. American Statistical Association, p. 178.

الاتاحة: http://jukuri.luke.fi/handle/10024/507466

المؤلفون: Heikkinen, Juha

المساهمون: Metsäntutkimuslaitos

مصطلحات موضوعية: ei-parametrinen Bayes-päättely, funktioiden estimointi, kasviekologia, spatiaaliset pisteprosessit

وصف الملف: 21-30; false

Relation: Suomen Tilastoseuran Vuosikirja 1997; http://jukuri.luke.fi/handle/10024/507465; Heikkinen, J. 1998. Modelling locations in a heterogeneous environment. In: Suomen Tilastoseuran Vuosikirja 1997. p. 21-30.

الاتاحة: http://jukuri.luke.fi/handle/10024/507465

المؤلفون: Viinikanoja, Jaakko

المساهمون: Klami, Arto, Perustieteiden korkeakoulu, School of Science, Informaatio- ja luonnontieteiden tiedekunta, Kaski, Samuel, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Bayesian data analysis, canonical correlation analysis, data fusion, latent variable model, variational inference, Bayesilainen data-analyysi, datafuusio, kanoninen korrelaationanalyysi, piilomuuttujamallit, variationaalinen Bayes-päättely, stat

Relation: https://aaltodoc.aalto.fi/handle/123456789/98968

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/98968

المؤلفون: Viinikanoja, Jaakko

المساهمون: Klami, Arto, Perustieteiden korkeakoulu, School of Science, Informaatio- ja luonnontieteiden tiedekunta, Kaski, Samuel, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Bayesian data analysis, canonical correlation analysis, data fusion, latent variable model, variational inference, Bayesilainen data-analyysi, datafuusio, kanoninen korrelaationanalyysi, piilomuuttujamallit, variationaalinen Bayes-päättely

Relation: https://aaltodoc.aalto.fi/handle/123456789/98968; URN:NBN:fi:aalto-2020122357795

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/98968

المؤلفون: Karelahti, Janne

المساهمون: Department of Engineering Physics and Mathematics, Teknillisen fysiikan ja matematiikan osasto, Systems Analysis Laboratory, Systeemianalyysin laboratorio, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Physics, Mathematics, air combat, missile avoidance, computational optimal control, game theory, receding horizon control, adaptive control, Bayesian reasoning, influence diagram, inverse simulation, ilmataistelu, ohjuksenväistö, laskennallinen optimisäätö, peliteoria, etenevän suunnitteluhorisontin säätö, adaptiivinen säätö, Bayes-päättely, vaikutuskaavio, käänteissimulointi

وصف الملف: 30, [75]; application/pdf

Relation: Research reports / Helsinki University of Technology, Systems Analysis Laboratory. A; 99; Karelahti, J., Virtanen, K., and Raivio, T., Near-Optimal Missile Avoidance Trajectories via Receding Horizon Control, Journal of Guidance, Control, and Dynamics, Vol. 30, No. 5, 2007, pp. 1287-1298. [article1.pdf] © 2007 American Institute of Aeronautics and Astronautics (AIAA). By permission.; Karelahti, J. and Virtanen, K., Adaptive Controller for the Avoidance of an Unknownly Guided Air Combat Missile, Proceedings of the 46th IEEE Conference on Decision and Control, 2007. [article2.pdf] © 2007 IEEE. By permission.; Karelahti, J., Virtanen, K., and Öström, J., Automated Generation of Realistic Near-Optimal Aircraft Trajectories, Journal of Guidance, Control, and Dynamics, accepted for publication. [article3.pdf] © 2008 by authors and © 2008 American Institute of Aeronautics and Astronautics (AIAA). By permission.; Virtanen, K., Karelahti, J., and Raivio, T., Modeling Air Combat by a Moving Horizon Influence Diagram Game, Journal of Guidance, Control, and Dynamics, Vol. 29, No. 5, 2006, pp. 1080-1091. [article4.pdf] © 2006 American Institute of Aeronautics and Astronautics (AIAA). By permission.; Karelahti, J., Virtanen, K., and Raivio, T., Game Optimal Support Time of a Medium Range Air-to-Air Missile, Journal of Guidance, Control, and Dynamics, Vol. 29, No. 5, 2006, pp. 1061-1069. [article5.pdf] © 2006 American Institute of Aeronautics and Astronautics (AIAA). By permission.; https://aaltodoc.aalto.fi/handle/123456789/2983; urn:nbn:fi:tkk-011119

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/2983

المؤلفون: Malve, Olli

المساهمون: Department of Civil and Environmental Engineering, Rakennus- ja ympäristötekniikan osasto, Water Resources Laboratory, Vesitalouden ja vesirakennuksen laboratorio, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Environmental science, Civil engineering, river basin management, target pollutant load, Bayesian inference, MCMC, hierarchical model, vesistöaluiden hoito, tavoitekuormitus, Bayes-päättely, hierarkinen malli

وصف الملف: 126, [73]; application/pdf

Relation: TKK dissertations; 67; Malve, O., Huttula, T. and Lehtinen, K. 1991. Modelling of eutrophication and oxygen depletion in the Lake Lappajärvi. In: Wrobel, L., Brebbia, C. (Eds.), Water Pollution: Modelling, Measuring and Prediction. Computational Mechanics Publications, pp. 111-124.; Malve, O., Salo, S., Verta, M. and Forsius, J. 2003. Modeling the transport of PCDD/F compounds in a contaminated river and the possible influence of restoration dredging on calculated fluxes. Environmental Science and Technology, 37 (15), pp. 3413-3421. DOI:10.1021/es0260723.; Malve, O., Laine, M. and Haario, H. 2005. Estimation of winter respiration rates and prediction of oxygen regime in a lake using Bayesian inference. Ecological Modelling, 182 (2), pp. 183-197. DOI:10.1016/j.ecolmodel.2004.07.020.; Malve, O., Laine, M., Haario, H., Kirkkala, T. and Sarvala, J. 2006. Bayesian modelling of algal mass occurrences—using adaptive MCMC methods with a lake water quality model. Environmental Modelling and Software, 22 (7), pp. 966-977. DOI:10.1016/j.envsoft.2006.06.016.; Malve, O. and Qian, S. 2006. Estimating nutrients and chlorophyll a relationships in Finnish lakes. Environmental Science and Technology, 40 (24), pp. 7848-7853. DOI:10.1021/es061359b.; https://aaltodoc.aalto.fi/handle/123456789/2864; urn:nbn:fi:tkk-009220

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/2864

المؤلفون: Heikkinen, J., Arjas, E.

المساهمون: Metsäntutkimuslaitos

مصطلحات موضوعية: Monte Carlo -menetelmä, ekologinen responssianalyysi, epäparametrinen Bayes-päättely, spatiaalinen interpolointi, spatiaaliset pisteprosessit

وصف الملف: 738-745; false

Relation: Biometrics; 55; http://jukuri.luke.fi/handle/10024/507845; Heikkinen, J. & Arjas, E. 1999. Modeling a Poisson forest in variable elevations: a nonparametric Bayesian approach. Biometrics 55(3): 738-745.

الاتاحة: http://jukuri.luke.fi/handle/10024/507845

المؤلفون: Heikkinen, J., Arjas, E.

المساهمون: Metsäntutkimuslaitos

مصطلحات موضوعية: Markovin kentät, Monte Carlo -menetelmä, Voronoi tessellaatiot, ei-parametrinen Bayes-päättely, spatiaaliset pisteprosessit

وصف الملف: 435-450; false

Relation: Scandinavian Journal of Statistics; 25; http://jukuri.luke.fi/handle/10024/507463; Heikkinen, J. & Arjas, E. 1998. Non-parametric Bayesian estimation of a spatial Poisson intensity. Scandinavian Journal of Statistics 25: 435-450.

الاتاحة: http://jukuri.luke.fi/handle/10024/507463

المؤلفون: Heikkinen, Juha

المساهمون: Metsäntutkimuslaitos

مصطلحات موضوعية: Monte Carlo -menetelmä, ei-parametrinen Bayes-päättely, funktioiden estimointi

وصف الملف: 255-272; false

Relation: Practical Nonparametric and Semiparametric Bayesian Statistics / Ed. Dey, D., Müller, P. & Sinha, D.; 0-387-98517-4; http://jukuri.luke.fi/handle/10024/507464; Heikkinen, J. 1998. Curve and surface estimation using dynamic step functions. In: Dey, D., Müller, P. & Sinha, D. (eds.). Practical Nonparametric and Semiparametric Bayesian Statistics. Springer-Verlag, New York. p. 255-272.

الاتاحة: http://jukuri.luke.fi/handle/10024/507464