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ECML
2007
Springer
15 years 10 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
15 years 2 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»
15 years 10 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»
15 years 9 months 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»
16 years 4 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