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检索条件"主题词=Probabilistic Graphical Models"
398 条 记 录,以下是291-300 订阅
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PGMHD: A Scalable probabilistic graphical Model for Massive Hierarchical Data Problems  2
PGMHD: A Scalable Probabilistic Graphical Model for Massive ...
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IEEE International Conference on Big Data
作者: AlJadda, Khalifeh Korayem, Mohammed Ortiz, Camilo Grainger, Trey Miller, John A. York, William S. Univ Georgia Dept Comp Sci Athens GA 30602 USA Indiana Univ Sch Informat & Comp Bloomington IN USA CareerBuilder Norcross GA USA Univ Georgia Complex Carbohydrate Res Ctr Athens GA 30602 USA
In the big data era, scalability has become a crucial requirement for any useful computational model. probabilistic graphical models are very useful for mining and discovering data insights, but they are not scalable ... 详细信息
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Word-level language modeling for P300 spellers based on discriminative graphical models
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JOURNAL OF NEURAL ENGINEERING 2015年 第2期12卷 026007-026007页
作者: Saa, Jaime F. Delgado de Pesters, Adriana McFarland, Dennis Cetin, Mujdat Sabanci Univ Signal Proc Info Syst Lab Istanbul Turkey Univ Norte Robot & Intelligent Syst Lab Barranquilla Colombia Wadsworth Ctr Lab Injury & Repair Albany NY USA
Objective. In this work we propose a probabilistic graphical model framework that uses language priors at the level of words as a mechanism to increase the performance of P300-based spellers. Approach. This paper is c... 详细信息
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Using probabilistic models for Missing Data Prediction in Network Industries Performance Measurement Systems
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Procedia Engineering 2015年 100卷 1348-1353页
作者: Kristjan Kuhi Kati Kõrbe Kaare Ott Koppel Department of Logistics and Transport Tallinn University of Technology Akadeemia 15A 12616 Tallinn Estonia
The vast development of information and communication technologies has created new possibilities to acquire and analyze data to take performance measurement systems to next level. Most commonly performance measurement... 详细信息
来源: 评论
Improving structure MCMC for Bayesian networks through Markov blanket resampling
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2016年 第1期17卷
作者: Kevin Murphy Bernhard Schölkopf Chengwei Su Mark E. Borsuk Google MPI for Intelligent Systems Thayer School of Engineering Dartmouth College Hanover NH
Algorithms for inferring the structure of Bayesian networks from data have become an increasingly popular method for uncovering the direct and indirect influences among variables in complex systems. A Bayesian approac... 详细信息
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Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2015年 第6期34卷 1227-1241页
作者: Karimaghaloo, Zahra Rivaz, Hassan Arnold, Douglas L. Collins, D. Louis Arbel, Tal McGill Univ Ctr Intelligent Machines Montreal PQ H3A 2A7 Canada Concordia Univ Elect & Comp Engn Dept Montreal PQ H3G 1M8 Canada Concordia Univ PERFORM Ctr Montreal PQ H3G 1M8 Canada NeuroRx Res Montreal PQ H2X 3P9 Canada McGill Univ Montreal Neurol Inst Montreal PQ H3A 2B4 Canada
We propose a conditional random field (CRF) based classifier for segmentation of small enhanced pathologies. Specifically, we develop a temporal hierarchical adaptive texture CRF (THAT-CRF) and apply it to the challen... 详细信息
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Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing
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INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH 2014年 第12期33卷 1544-1568页
作者: Williams, Stephen Indelman, Vadim Kaess, Michael Roberts, Richard Leonard, John J. Dellaert, Frank Georgia Inst Technol Inst Robot & Intelligent Machines Atlanta GA 30332 USA Carnegie Mellon Univ Sch Comp Sci Field Robot Ctr Inst Robot Pittsburgh PA 15213 USA MIT Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA
We present a parallelized navigation architecture that is capable of running in real-time and incorporating long-term loop closure constraints while producing the optimal Bayesian solution. This architecture splits th... 详细信息
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Learning perceptually grounded word meanings from unaligned parallel data
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MACHINE LEARNING 2014年 第2期94卷 151-167页
作者: Tellex, Stefanie Thaker, Pratiksha Joseph, Joshua Roy, Nicholas 32 Vassar St Cambridge MA 02139 USA
In order for robots to effectively understand natural language commands, they must be able to acquire meaning representations that can be mapped to perceptual features in the external world. Previous approaches to lea... 详细信息
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3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning
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MACHINE VISION AND APPLICATIONS 2014年 第2期25卷 301-325页
作者: Bhole, Chetan Pal, Christopher Rim, David Wismueller, Axel Univ Rochester Dept Comp Sci Rochester NY 14627 USA Ecole Polytech Dept Genie Informat & Genie Logiciel Montreal PQ H3C 3A7 Canada Univ Rochester Med Ctr Dept Imaging Sci Computat Radiol Lab Rochester NY 14642 USA Univ Munich Dept Radiol Munich Germany
probabilistic graphical models have had a tremendous impact in machine learning and approaches based on energy function minimization via techniques such as graph cuts are now widely used in image segmentation. However... 详细信息
来源: 评论
A Scientific Inquiry Fusion Theory for High-Level Information Fusion  17
A Scientific Inquiry Fusion Theory for High-Level Informatio...
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17th International Conference on Information Fusion (FUSION)
作者: Ao, Zhuoyun Scholz, Jason Oxenham, Martin Joint and Operations Analysis Division Defence Science Technology Organisation South Australia Australia
The Joint Directors of Laboratories fusion model is adequate as a functional description, but falls short as a formal design guide for the application of logical inference under uncertainty for high-level information ... 详细信息
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People on Drugs: Credibility of User Statements in Health Communities  14
People on Drugs: Credibility of User Statements in Health Co...
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20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
作者: Mukherjee, Subhabrata Weikum, Gerhard Danescu-Niculescu-Mizil, Cristian Max Planck Inst Informat Saarbrucken Germany Max Planck Inst Software Syst Saarbrucken Germany
Online health communities are a valuable source of information for patients and physicians. However, such user-generated resources are often plagued by inaccuracies and misinformation. In this work we propose a method... 详细信息
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