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检索条件"主题词=Baum-welch algorithm"
105 条 记 录,以下是11-20 订阅
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Active Learning of Markov Decision Processes using baum-welch algorithm  20
Active Learning of Markov Decision Processes using Baum-Welc...
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20th IEEE International Conference on Machine Learning and Applications (ICMLA)
作者: Bacci, Giovanni Ingolfsdottir, Anna Larsen, Kim G. Reynouard, Raphael Dept Comp Sci Aalborg Denmark Dept Comp Sci Reykjavik Iceland
Cyber-physical systems (CPSs) are naturally modelled as reactive systems with nondeterministic and probabilistic dynamics. Model-based verification techniques have proved effective in the deployment of safety-critical... 详细信息
来源: 评论
Refined Learning of Hidden Markov Models with a Modified baum-welch algorithm and Informative Components
Refined Learning of Hidden Markov Models with a Modified Bau...
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The 2010 IEEE International Conference on Progress in Informatics and Computing
作者: Michael G.Madden School of Engineering and Informatics National University of Ireland Galway GalwayIreland
Methods for refined learning of hidden Markov models(HMMs) have been studied for decades,taking either structural or parametric *** paper discusses using informative components of state parameters to refine the traini... 详细信息
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Statistical and computational guarantees for the baum-welch algorithm
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2017年 第1期18卷
作者: Fanny Yang Sivaraman Balakrishnan Martin J. Wainwright Department of Electrical Engineering and Computer Sciences University of California Berkeley CA Department of Statistics Carnegie Mellon University Pittsburgh PA Department of Statistics Department of Electrical Engineering and Computer Sciences University of California Berkeley CA
The Hidden Markov Model (HMM) is one of the mainstays of statistical modeling of discrete time series, with applications including speech recognition, computational biology, computer vision and econometrics. Estimatin... 详细信息
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Tensor-Based baum-welch algorithms in Coupled Hidden Markov Model for Responsible Activity Prediction
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IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 2023年 第6期10卷 2924-2937页
作者: Zhang, Shunli Yang, Laurence T. Zhang, Yue Lu, Zhixing Yu, Jing Cui, Zongmin Jiujiang Univ Sch Comp & Big Data Sci Jiujiang 332005 Peoples R China Hainan Univ Sch Comp Sci & Technol Haikou 570228 Peoples R China Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China St Francis Xavier Univ Dept Comp Sci Antigonish NS B2G 2W5 Canada
The development and applications of artificial intelligence (AI) have brought unprecedented opportunities to humans, but also brought many challenges and concerns such as unfairness, immorality, distrust, illegality, ... 详细信息
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HMM machine learning and inference for Activities of Daily Living recognition
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JOURNAL OF SUPERCOMPUTING 2010年 第1期54卷 29-42页
作者: Cheng, Bo-Chao Tsai, Yi-An Liao, Guo-Tan Byeon, Eui-Seok Natl Chung Cheng Univ Dept Commun Engn Chiayi 621 Taiwan Sun Moon Univ Dept Ind & Management Engn Asan 336740 Chungnam South Korea
In a human-centric smart space, Activities of Daily Living (ADL) analysis can provide very useful information for elder care and long-term care services. ADL is defined as an assessment of a person's functional st... 详细信息
来源: 评论
Reliability Analysis of Phasor Measurement Unit Using Hidden Markov Model
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IEEE SYSTEMS JOURNAL 2014年 第4期8卷 1293-1301页
作者: Murthy, Cherukuri Mishra, Anvesha Ghosh, Debomita Roy, Diptendu Sinha Mohanta, Dusmanta Kumar Natl Inst Sci & Technol Dept Elect & Elect Engn Berhampur 761008 Orissa India IBM India Pvt Ltd Gurgaon 122002 India Birla Inst Technol Dept Elect & Elect Engn Mesra 835215 Ranchi India Natl Inst Sci & Technol Dept Comp Sci Engn Berhampur 761008 Orissa India
Recently, electrical power systems have emerged as the largest and most complex machine because of its inordinate growth due to technological innovations and because of geographical sprawl. This growth has necessitate... 详细信息
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Hidden Markov models for burst error characterization in indoor radio channels
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 1997年 第4期46卷 1006-1020页
作者: GarciaFrias, J Crespo, PM TELEFON I&D MADRID 28043 SPAIN
Many digital communication channels exhibit statistical dependencies among errors, The design of error control schemes for such channels and their performance evaluation is simplified if appropriate generative models ... 详细信息
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APPLICATION OF HIDDEN MARKOV-MODELS FOR SIGNATURE VERIFICATION
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PATTERN RECOGNITION 1995年 第2期28卷 161-170页
作者: YANG, L WIDJAJA, BK PRASAD, R DELFT UNIV TECHNOL TELECOMMUN & TRAFF CONTROL SYST GRP2600 GA DELFTNETHERLANDS
This paper describes a technique for on-line signature verification using Hidden Markov Models (HMMs). Signatures are captured and digitized in real-time using a graphic tablet. For each signature a HMM is constructed... 详细信息
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Training hidden Markov models with multiple observations - A combinatorial method
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2000年 第4期22卷 371-377页
作者: Li, XL Parizeau, M Plamondon, R CADlink Technol Corp Ottawa ON K1H 1E1 Canada Univ Laval Dept Genie Elect & Genie Informat St Foy PQ G1K 7P4 Canada Ecole Polytech Montreal PQ H3C 3A7 Canada
Hidden Markov models (HMMs) are stochastic models capable of statistical learning and classification. They have been applied in speech recognition and handwriting recognition because of their great adaptability and Ve... 详细信息
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First and Second-Order Semi-Hidden Fritchman Markov models for a multi-carrier based indoor narrowband power line communication system
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PHYSICAL COMMUNICATION 2018年 29卷 55-66页
作者: Familua, Ayokunle Damilola Cheng, Ling Univ Witwatersrand Sch Elect & Informat Engn 1 Jan Smut Ave Johannesburg South Africa
The realization of a Semi-Hidden Fritchman Markov models (SHFMMs) for power line communication (PLC) channel is only practicable if combined with efficient algorithms for learning and inference. This article thus repo... 详细信息
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