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ECML
2007
Springer
14 years 1 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
PKAW
2010
13 years 5 months ago
Finding Relation between PageRank and Voter Model
Abstract. Estimating influence of a node is an important problem in social network analyses. We address this problem in a particular class of model for opinion propagation in whic...
Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, H...
ICMCS
2006
IEEE
147views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Color Data Coding for Three-Dimensional Mesh Models Considering Connectivity and Geometry Information
In this paper, we propose a new predictive coding scheme for color data of three-dimensional (3-D) mesh models. We exploit connectivity and geometry information to improve coding ...
Young-Suk Yoon, Sung-Yeol Kim, Yo-Sung Ho
PCM
2005
Springer
99views Multimedia» more  PCM 2005»
14 years 13 days ago
Photometry Data Coding for Three-Dimensional Mesh Models Using Connectivity and Geometry Information
In this paper, we propose new predictive coding schemes for photometry data of three-dimensional (3-D) mesh models as per-vertex binding. We exploit geometry and connectivity infor...
Young-Suk Yoon, Sung-Yeol Kim, Yo-Sung Ho
VLDB
2008
ACM
196views Database» more  VLDB 2008»
14 years 7 months ago
Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes
This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. Such a high-level implementation is useful since it supports ...
Thomas Rölleke, Hengzhi Wu, Jun Wang, Hany Azzam