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检索条件"主题词=Probabilistic Graphical Models"
398 条 记 录,以下是321-330 订阅
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Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
Locally averaged Bayesian Dirichlet metrics for learning the...
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11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSARU)
作者: Cano, Andres Gomez-Olmedo, Manuel Masegosa, Andres R. Moral, Serafin Univ Granada Dept Comp Sci & Artificial Intelligence E-18071 Granada Spain
The marginal likelihood of the data computed using Bayesian score metrics is at the core of score+search methods when learning Bayesian networks from data. However, common formulations of those Bayesian score metrics ... 详细信息
来源: 评论
Where to go from here? Mobility prediction from instantaneous information
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PERVASIVE AND MOBILE COMPUTING 2013年 第6期9卷 784-797页
作者: Etter, Vincent Kafsi, Mohamed Kazemi, Ehsan Grossglauser, Matthias Thiran, Patrick Ecole Polytech Fed Lausanne Sch Comp & Commun Sci CH-1015 Lausanne Switzerland
We present the work that allowed us to win the Next-Place Prediction task of the Nokia Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore the characteristics of their mobility tra... 详细信息
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Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
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INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2013年 第4期54卷 526-540页
作者: Cano, Andres Gomez-Olmedo, Manuel Masegosa, Andres R. Moral, Serafin Univ Granada Dept Comp Sci & Artificial Intelligence E-18071 Granada Spain
The marginal likelihood of the data computed using Bayesian score metrics is at the core of score+search methods when learning Bayesian networks from data. However, common formulations of those Bayesian score metrics ... 详细信息
来源: 评论
Gated Bayesian Networks
Gated Bayesian Networks
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12th Scandinavian Conference on Artificial Intelligence (SCAI)
作者: Bendtsen, Marcus Pena, Jose M. Linkoping Univ IDA ADIT S-58183 Linkoping Sweden
This paper introduces a new probabilistic graphical model called gated Bayesian network (GBN). This model evolved from the need to represent real world processes that include several distinct phases. In essence a GBN ... 详细信息
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Joint and Pipeline probabilistic models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations
Joint and Pipeline Probabilistic Models for Fine-Grained Sen...
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IEEE 13th International Conference on Data Mining (ICDM)
作者: Klinger, Roman Cimiano, Philipp Univ Bielefeld CIT EC Semant Comp Grp D-33615 Bielefeld Germany
Sentiment analysis and opinion mining are often addressed as a text classification or entity recognition problem, involving the detection or classification of aspects and subjective phrases. Many approaches do not mod... 详细信息
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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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Error AMP Chain Graphs
Error AMP Chain Graphs
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12th Scandinavian Conference on Artificial Intelligence (SCAI)
作者: Pena, Jose M. Linkoping Univ IDA ADIT SE-58183 Linkoping Sweden
Any regular Gaussian probability distribution that can be represented by an AMP chain graph (CG) can be expressed as a system of linear equations with correlated errors whose structure depends on the CG. However, the ... 详细信息
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Agent-based Knowledge Evolution Management and Fuzzy Rule-based Evolution Detection in Bayesian Networks
Agent-based Knowledge Evolution Management and Fuzzy Rule-ba...
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International Conference on Fuzzy Theory and Its Applications (iFUZZY)
作者: Lee, Kyung Mi Lee, Keon Myung Chungbuk Natl Univ Dept Comp Sci Cheongju Chungbuk South Korea
All data and information are not always available at the time of a system design and implementation. Especially in knowledge-based systems, training data could be limited at the early stage and more training data migh... 详细信息
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Designing Effective Multimodal Behaviors for Robots: A Data-Driven Perspective  13
Designing Effective Multimodal Behaviors for Robots: A Data-...
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15th ACM International Conference on Multimodal Interaction (ICMI)
作者: Huang, Chien-Ming Univ Wisconsin Dept Comp Sci 1210 W Dayton St Madison WI 53706 USA
Robots need to effectively use multimodal behaviors, including speech, gaze, and gestures, in support of their users to achieve intended interaction goals, such as improved task performance. This proposed research con... 详细信息
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Encoding local correspondence in Topic models
Encoding local correspondence in Topic Models
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25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
作者: Rochd, El Mehdi Quafafou, Mohamed Aznag, Mustapha Aix Marseille Univ LSIS UMR 7296 Marseille France
Exploiting label correlations is a challenging and crucial problem especially in multi-label learning context. Labels correlations are not necessarily shared by all instances and have generally a local definition. Thi... 详细信息
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