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检索条件"主题词=Probabilistic Graphical Models"
398 条 记 录,以下是301-310 订阅
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Algorithms for Hidden Markov models With Imprecisely Specified Parameters  3
Algorithms for Hidden Markov Models With Imprecisely Specifi...
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3rd Brazilian Conference on Intelligent Systems (BRACIS)
作者: Maua, Denis Deratani de Campos, Cassio Polpo Antonucci, Alessandro Univ Sao Paulo Sao Paulo Brazil Ist Molle Studi Intelligenza Artificiale Manno Switzerland
Hidden Markov models (HMMs) are widely used models for sequential data. As with other probabilistic models, they require the specification of local conditional probability distributions, which can be too difficult and... 详细信息
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Selecting Failure Countermeasures through Decision Network Analysis
Selecting Failure Countermeasures through Decision Network A...
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60th Annual Reliability and Maintainability Symposium (RAMS)
作者: Portinale, Luigi Codetta-Raiteri, Daniele Terruggia, Roberta Univ Piemonte Orientale Inst Comp Sci DiSIT I-15121 Alessandria Italy
We propose a framework for the selection of failure countermeasures and repair actions, based on Decision Networks (DN). We show, through specific examples, that standard probabilistic inference on DN can be used to c... 详细信息
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Deterministic Bayesian information fusion and the analysis of its performance
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INFORMATION AND INFERENCE-A JOURNAL OF THE IMA 2014年 第4期3卷 345-366页
作者: Thakur, Gaurav Digital Signal Corp 14000 Thunderbolt Pl Chantilly VA 20151 USA
This paper develops a mathematical and computational framework for analyzing the expected performance of Bayesian data fusion, or joint statistical inference, within a sensor network. We use variational techniques to ... 详细信息
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A Multi-agent Decision Process for Controlling Heating, Ventilation, and Air-conditioning Systems
A Multi-agent Decision Process for Controlling Heating, Vent...
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作者: Windham, Andrew Winsome PennState University Libraries
学位级别:Doctor of Philosophy
The primary focus of this work is to explore and describe a proposed decision process for use in controlling heating, ventilation, and air conditioning systems in buildings. The larger problem that houses the decision... 详细信息
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Distributed Learning, Prediction and Detection in probabilistic Graphs
Distributed Learning, Prediction and Detection in Probabilis...
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作者: Meng, Zhaoshi University of Michigan
学位级别:Ph.D., Doctor of Philosophy
Critical to high-dimensional statistical estimation is to exploit the structure in the data distribution. probabilistic graphical models provide an efficient framework for representing complex joint distributions of r... 详细信息
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A probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids
A Probabilistic Evolutionary Optimization Approach to Comput...
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10th International Conference on Simulated Evolution and Learning (SEAL)
作者: Santana, Roberto McDonald, Ross B. Katzgraber, Helmut G. Univ Basque Country UPV EHU Dept Comp Sci & Artificial Intelligence Guipuzcoa 20018 Spain Texas A&M Univ Dept Phys & Astron College Stn TX 77843 USA Santa Fe Inst Santa Fe NM 87501 USA
This paper proposes the use of estimation of distribution algorithms to deal with the problem of finding an optimal product of braid generators in topological quantum computing. We investigate how the regularities of ... 详细信息
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A probabilistic graphical model approach to stochastic multiscale partial differential equations
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JOURNAL OF COMPUTATIONAL PHYSICS 2013年 250卷 477-510页
作者: Wan, Jiang Zabaras, Nicholas Cornell Univ Sibley Sch Mech & Aerosp Engn Mat Proc Design & Control Lab Ithaca NY 14853 USA Cornell Univ Ctr Appl Math Ithaca NY 14853 USA
We develop a probabilistic graphical model based methodology to efficiently perform uncertainty quantification in the presence of both stochastic input and multiple scales. Both the stochastic input and model response... 详细信息
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Learning Gated Bayesian Networks for Algorithmic Trading
Learning Gated Bayesian Networks for Algorithmic Trading
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7th European Workshop on probabilistic graphical models (PGM)
作者: Bendtsen, Marcus Pena, Jose M. Linkoping Univ Dept Comp & Informat Sci S-58183 Linkoping Sweden
Gated Bayesian networks (GBNs) are a recently introduced extension of Bayesian networks that aims to model dynamical systems consisting of several distinct phases. In this paper, we present an algorithm for semi-autom... 详细信息
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The Libra toolkit for probabilistic models
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2015年 第1期16卷
作者: Daniel Lowd Amirmohammad Rooshenas Department of Computer and Information Science University of Oregon Eugene OR
The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, and sum-product networks. Compared to o... 详细信息
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A Pan-Cancer Modular Regulatory Network Analysis to Identify Common and Cancer-Specific Network Components
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CANCER INFORMATICS 2014年 第Sup5期13卷 69-84页
作者: Knaack, Sara Siahpirani, Alireza Roy, Sushmita Univ Wisconsin Wisconsin Inst Discovery Madison WI USA Univ Wisconsin Dept Comp Sci Madison WI USA Univ Wisconsin Dept Biostat & Med Informat Madison WI USA
Many human diseases including cancer are the result of perturbations to transcriptional regulatory networks that control context-specific expression of genes. A comparative approach across multiple cancer types is a p... 详细信息
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