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Showing results 35881 to 35900 of 275509

35881
Bayesian ensembled mean-median reversion based strategy for on-line portfolio selection = 베이지안 평균-중간값 복귀에 기반한 온라인 포트폴리오 선택전략link

Kumar, Abhishek; 쿠말, 아비쉑; et al, 한국과학기술원, 2016

35882
Bayesian error regions in quantum estimation I: analytical reasonings

Teo, Yong Siah; Oh, Changhun; Jeong, Hyunseok, NEW JOURNAL OF PHYSICS, v.20, 2018-09

35883
Bayesian error regions in quantum estimation II: region accuracy and adaptive methods

Oh, Changhun; Teo, Yong Siah; Jeong, Hyunseok, NEW JOURNAL OF PHYSICS, v.20, 2018-09

35884
Bayesian Exploration Imitation Learning-Based Contextual via Design Optimization Method of PAM-4-Based High-Speed Serial Link

Kim, Jihun; Kim, Minsu; Kim, Haeyeon; Park, Hyunwook; Choi, Seonguk; Park, Joonsang; Sim, Boogyo; et al, IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, v.65, no.6, pp.1751 - 1762, 2023-12

35885
Bayesian face detection in an image sequence using face probability gradient ascent

Park, J.H.; Choi, H.C.; Kim, Seong-Dae, IEEE International Conference on Image Processing, ICIP 2005, v.2, pp.346 - 349, IEEE, 2005-09-11

35886
Bayesian filtering for keyframe-based visual SLAM

Kim, Jungho; Yoon, Kuk-Jin; Kweon, In-So, INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, v.34, no.4-5, pp.517 - 531, 2015-04

35887
BAYESIAN FORECASTS FOLLOWING A MAJOR LEVEL CHANGE IN EXPONENTIAL SMOOTHING

Jun, Duk Bin; OLIVER, RM, JOURNAL OF FORECASTING, v.4, no.3, pp.293 - 302, 1985

35888
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility

Lee, Juho; Choi, Seungjin, 18th International Conference on Artificial Intelligence and Statistics (AISTATS), pp.581 - 589, Artificial Intelligence and Statistics, 2015-05-11

35889
Bayesian hierarchical semiparametric regression with time-varying coefficients: application to a temperate-mortality association study = 베이지안 계층 구조를 이용한 시변 계수를 가진 반모수적 회귀 모형 분석: 온도와 사망자수에 관한 연구link

Noh, Hee-Sang; 노희상; et al, 한국과학기술원, 2013

35890
Bayesian inductive learning in group recommendations for seen and unseen groups

Lee, Kwang Hee; Kim, Myoung Ho, INFORMATION SCIENCES, v.610, pp.725 - 745, 2022-09

35891
Bayesian inference for edge electron density profiles from the JET Li-BES data

Kwak, Sehyun; Svensson, J; Brix, M; Ghim, Young chul; Contributors, JET, Deutsche Physikalische Gesellschaft Spring Meeting, Deutsche Physikalische Gesellschaft, 2016-02-29

35892
Bayesian Inference for the Quantitative Analysis of Nonuniformly Distributed Uranium Radioactivity in a Waste Drum

Ryu, Jichang; Hong, Junghwan; Park, Jungsuk; Cho, Gyuseong, IEEE TRANSACTIONS ON NUCLEAR SCIENCE, v.70, no.7, pp.1477 - 1489, 2023-07

35893
Bayesian inference of axisymmetric plasma equilibrium

Kwak, Sehyun; Svensson, J.; Ford, O.; Appel, L.; Ghim, Young-chul; JET Contributors, J. E. T. Contributors, NUCLEAR FUSION, v.62, no.12, 2022-12

35894
Bayesian inference of distributed time delay in transcriptional and translational regulation

Choi, Boseung; Cheng, Yu-Yu; Cinar, Selahattin; Ott, William; Bennett, Matthew R.; Josic, Kresimir; Kim, Jae Kyoung, BIOINFORMATICS, v.36, no.2, pp.586 - 593, 2020-01

35895
Bayesian inference of electron temperature and density profiles from JET high resolution Thomson scattering and interferometer data

Kwak, Sehyun; Svensson, J.; Bozhenkov, J.; Flanagan, J.; Kempenaars, M.; Ghim, Young-chul, Deutsche Physikalische Gesellschaft Spring Meeting, German Physical Society, 2017-03-13

35896
Bayesian Inference of National Rankings in Incomplete Competition Netgworks

Park, Juyong, NetSci 2013, International School and Conference of Network Science, 2013-06-07

35897
Bayesian Inference of Natural Rankings in Incomplete Competition Networks

Park, Juyong; Yook, Soon-Hyung, SCIENTIFIC REPORTS, v.4, 2014-08

35898
Bayesian inference of the flow resistivity of a sound absorber and the room's influence on the Sabine absorption coefficients ( L) (a))

Jeong, Cheol-Ho; Choi, Sanghyeon; Lee, Ik Jin, JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, v.141, no.3, pp.1711 - 1714, 2017-03

35899
Bayesian inference on KSTAR FRLPA data to obtain radial profile of edge electron density and temperature

Kwon, Daeho; Kim, Jaewook; Bak, J.G.; Kim, H.S.; Ghim, Young-chul, KSTAR Conference 2017, National Fusion Research Institute, 2017-01-19

35900
Bayesian inference on random simple graphs with power law degree distributions

Lee, Juho; Heakulani, Creighton; Ghahramani, Z; James, Lancelot F.; Choi, Seungjin, International Conference on Machine Learning(ICML 2017), International Machine Learning Society (IMLS), 2017-08-08

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