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检索条件"主题词=Probabilistic Generative Model"
73 条 记 录,以下是31-40 订阅
排序:
modeling Location-Based User Rating Profiles for Personalized Recommendation
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ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 2015年 第3期9卷 1-41页
作者: Yin, Hongzhi Cui, Bin Chen, Ling Hu, Zhiting Zhang, Chengqi Univ Queensland Sch Informat Technol & Elect Engn Brisbane Qld 4072 Australia Peking Univ Sch EECS Key Lab High Confidence Software Technol MOE Beijing 100871 Peoples R China Univ Technol Sydney QCIS Sydney NSW 2007 Australia Carnegie Mellon Univ Language Technol Inst Pittsburgh PA 15213 USA
This article proposes LA-LDA, a location-aware probabilistic generative model that exploits location-based ratings to model user profiles and produce recommendations. Most of the existing recommendation models do not ... 详细信息
来源: 评论
FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2020年 29卷 7565-7577页
作者: Wang, Zhengjue Chen, Bo Lu, Ruiying Zhang, Hao Liu, Hongwei Varshney, Pramod K. Xidian Univ Collaborat Innovat Ctr Informat Sensing & Underst Natl Lab Radar Signal Proc Xian 710071 Peoples R China Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA
Due to hardware limitations of the imaging sensors, it is challenging to acquire images of high resolution in both spatial and spectral domains. Fusing a low-resolution hyperspectral image (LR-HSI) and a high-resoluti... 详细信息
来源: 评论
Statistical Inference of Diffusion Networks
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2021年 第2期33卷 742-753页
作者: Huang, Hao Yan, Qian Chen, Lu Gao, Yunjun Jensen, Christian S. Wuhan Univ Sch Comp Sci Wuhan 430072 Peoples R China Aalborg Univ Dept Comp Sci DK-9220 Aalborg Denmark Zhejiang Univ Coll Comp Sci & Technol Hangzhou 310027 Peoples R China
To infer structures in diffusion networks, existing approaches mostly need to know not only the final infection statuses of network nodes, but also the exact times when infections occur. In contrast, in many real-worl... 详细信息
来源: 评论
Active exploration based on information gain by particle filter for efficient spatial concept formation
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ADVANCED ROBOTICS 2023年 第13期37卷 840-870页
作者: Taniguchi, Akira Tabuchi, Yoshiki Ishikawa, Tomochika El Hafi, Lotfi Hagiwara, Yoshinobu Taniguchi, Tadahiro Ritsumeikan Univ Coll Informat Sci & Engn Kusatsu Shiga Japan Ritsumeikan Univ Grad Sch Informat Sci & Engn Kusatsu Shiga Japan Ritsumeikan Univ Res Org Sci & Technol Kusatsu Shiga Japan
Autonomous robots need to learn the categories of various places by exploring their environments and interacting with users. However, preparing training datasets with linguistic instructions from users is time-consumi... 详细信息
来源: 评论
Label Correlation Mixture model: A Supervised generative Approach to Multilabel Spoken Document Categorization
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING 2015年 第2期3卷 235-245页
作者: He, Zhiyang Wu, Ji Li, Tao Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Florida Int Univ Sch Comp Sci Miami FL 33199 USA
Multilabel categorization, which is more difficult but practical than the conventional binary and multiclass categorization, has received a great deal of attention in recent years. This paper proposes a novel probabil... 详细信息
来源: 评论
Towards complex activity recognition using a Bayesian network-based probabilistic generative framework
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PATTERN RECOGNITION 2017年 68卷 295-309页
作者: Liu, Li Wang, Shu Su, Guoxin Huang, Zi-Gang Liu, Ming Minist Educ Key Lab Dependable Serv Comp Cyber Phys Soc Chongqing 400044 Peoples R China Chongqing Univ Sch Software Engn Chongqing 400044 Peoples R China Southwest Univ Fac Mat & Energy Chongqing 400715 Peoples R China Univ Wollongong Sch Comp & Informat Technol Wollongong NSW 2522 Australia Lanzhou Univ Sch Phys Sci & Technol Lanzhou 730000 Peoples R China Southwest Univ Fac Comp & Informat Sci Chongqing 400715 Peoples R China
Complex activity recognition is challenging since a complex activity can be performed in different ways, with each having its own configuration of primitive events and their temporal dependencies. To address such temp... 详细信息
来源: 评论
Unsupervised Multimodal Word Discovery Based on Double Articulation Analysis With Co-Occurrence Cues
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IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS 2023年 第4期15卷 1825-1840页
作者: Taniguchi, Akira Murakami, Hiroaki Ozaki, Ryo Taniguchi, Tadahiro Ritsumeikan Univ Coll Informat Sci & Engn Kusatsu Shiga 5258577 Japan Ritsumeikan Univ Grad Sch Informat Sci & Engn Kusatsu Shiga 5258577 Japan
Human infants acquire their verbal lexicon with minimal prior knowledge of language based on the statistical properties of phonological distributions and the co-occurrence of other sensory stimuli. This study proposes... 详细信息
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A tutorial on Bayesian models of perception
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JOURNAL OF MATHEMATICAL PSYCHOLOGY 2015年 66卷 103-114页
作者: Vincent, Benjamin T. Univ Dundee Sch Psychol Dundee DD1 4HN Scotland
The notion that perception involves Bayesian inference is an increasingly popular position taken by many researchers. Bayesian models have provided insights into many perceptual phenomena, but their description and pr... 详细信息
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An overview of topic modeling and its current applications in bioinformatics
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SPRINGERPLUS 2016年 第1期5卷 1608页
作者: Liu, Lin Tang, Lin Dong, Wen Yao, Shaowen Zhou, Wei Yunnan Univ Sch Informat Kunming 650091 Yunnan Peoples R China Yunnan Normal Univ Key Lab Educ Informatizat Nationalities Minist Educ Sch Informat Kunming 650092 Yunnan Peoples R China Yunnan Normal Univ Minist Educ Key Lab Educ Informatizat Nationalities Kunming 650092 Yunnan Peoples R China Yunnan Univ Natl Pilot Sch Software Kunming 650091 Yunnan Peoples R China
Background: With the rapid accumulation of biological datasets, machine learning methods designed to automate data analysis are urgently needed. In recent years, socalled topic models that originated from the field of... 详细信息
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MGMR: leveraging RNA-Seq population data to optimize expression estimation
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BMC BIOINFORMATICS 2012年 第s6期13卷 1-7页
作者: Rozov, Roye Halperin, Eran Shamir, Ron Tel Aviv Univ Blavatnik Sch Comp Sci IL-69978 Tel Aviv Israel Tel Aviv Univ Mol Microbiol & Biotechnol Dept IL-69978 Tel Aviv Israel Int Comp Sci Inst Berkeley CA 94704 USA
Background: RNA-Seq is a technique that uses Next Generation Sequencing to identify transcripts and estimate transcription levels. When applying this technique for quantification, one must contend with reads that alig... 详细信息
来源: 评论