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检索条件"主题词=Probabilistic Graphical Models"
398 条 记 录,以下是251-260 订阅
排序:
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators
VMAPD: Generate Diverse Solutions for Multi-Agent Games with...
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IEEE Conference on Games (CoG)
作者: Huang, Shiyu Yu, Chao Wang, Bin Li, Dong Wang, Yu Chen, Ting Zhu, Jun Tsinghua Univ Beijing Peoples R China Huawei Noahs Ark Lab Beijing Peoples R China
Recent algorithms designed for multi-agent tasks focus on finding a single optimal solution for all the agents. However, in many tasks (e.g., matrix games and transportation dispatching), there may exist more than one... 详细信息
来源: 评论
A feature-based approach to modeling protein-DNA interactions
A feature-based approach to modeling protein-DNA interaction...
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11th Annual International Conference on Research in Computational Molecular Biology
作者: Sharon, Eilon Segal, Eran Weizmann Inst Sci Dept Comp Sci IL-76100 Rehovot Israel
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position specific scoring matriX (PSSM), which as... 详细信息
来源: 评论
Microblog Sentiment Topic Model  16
Microblog Sentiment Topic Model
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16th IEEE International Conference on Data Mining (ICDM)
作者: Ahuja, Aman Wei, Wei Carley, Kathleen M. BITS Pilani KK Birla Goa Campus Zuarinagar Goa India Carnegie Mellon Univ Pittsburgh PA 15213 USA
With the prevalence of social media, such as Twitter, short-length text like microblogs have become an important mode of text on the Internet. In contrast to other forms of media, such as newspaper, the text in these ... 详细信息
来源: 评论
Monocular Depth Estimation Based on a Single Image - A Literature Review  12
Monocular Depth Estimation Based on a Single Image - A Liter...
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12th International Conference on Graphics and Image Processing (ICGIP)
作者: Tian Yuan Hu Xiaodong Chinese Acad Sci Xian Inst Opt & Precis Mech Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
Monocular depth estimation is a very valuable but also very challenging problem. In order to solve this ill-posed problem, traditional approaches apply depth cues such as defocusing, atmospheric scattering and shading... 详细信息
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Behaviour Recognition on Noisy Data-streams Constrained by Complex Prior Knowledge
Behaviour Recognition on Noisy Data-streams Constrained by C...
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作者: Romain Rince UNIVERSITE DE NANTES
学位级别:博士
Complex Event Processing (CEP) The first one is based on Markov logical consists of the analysis of data-streams in order networks to represent the structure of the to extract particular patterns and behaviours chroni... 详细信息
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Stokes, Gauss, and Bayes Walk into a Bar ...
Stokes, Gauss, and Bayes Walk into a Bar ...
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作者: Kightley, E.P. University of Colorado at Boulder
学位级别:Ph.D.
This thesis consists of three distinct projects. The first is a study of microbial aggregate fragmentation, in which we develop a dynamical model of aggregate deformation and breakage and use it to obtain a post-fragm... 详细信息
来源: 评论
Computing Marginal and Conditional Divergences between Decomposable models with Applications  23
Computing Marginal and Conditional Divergences between Decom...
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23rd IEEE International Conference on Data Mining (IEEE ICDM)
作者: Lee, Loong Kuan Webb, Geoffrey I. Schmidt, Daniel F. Piatkowski, Nico Fraunhofer IAIS Schloss Birlinghoven D-53757 St Augustin Germany Monash Univ Dept Data Sci & AI Melbourne Vic Australia
The ability to compute the exact divergence between two high-dimensional distributions is useful in many applications but doing so naively is intractable. Computing the alpha-beta divergence a family of divergences th... 详细信息
来源: 评论
A Generic Framework for Behavior Recognition of Complex Activities in Robotics
A Generic Framework for Behavior Recognition of Complex Acti...
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25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
作者: Haeussermann, Kai Zweigle, Oliver Levi, Paul Univ Stuttgart Dept Image Understanding D-70469 Stuttgart Germany
Considering the current state in service-robotics, an expert is still necessary to add new tasks and execution behaviors by textual and error-prone programming. Under the consideration that humans typically execute sa... 详细信息
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A GENERAL BAYESIAN ALGORITHM FOR VISUAL OBJECT TRACKING BASED ON SPARSE FEATURES
A GENERAL BAYESIAN ALGORITHM FOR VISUAL OBJECT TRACKING BASE...
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Soto, Mauricio Regazzoni, Carlo S. Univ Genoa Dept Biophys & Elect Engn Genoa Italy
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex segments and tracks different moving obj... 详细信息
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Tutorial of the probabilistic methods Bayesian networks and influence diagrams applied to medicine
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Journal of Evidence-Based Medicine 2018年 第2期11卷 112-124页
作者: Nistal-Nuño, Beatriz Department of Anesthesiology Yale University School of Medicine New Haven CT United States
Unpredictability arises in numerous real-world implementations especially in medical fields, being one of the principal subjects that expert systems have to deal with. Bayesian networks (BNs) allow constructing expert... 详细信息
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