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JMLR
2012
13 years 5 months ago
Graphlet decomposition of a weighted network
We introduce the graphlet decomposition of a weighted network, which encodes a notion of social information based on social structure. We develop a scalable algorithm, which combi...
Hossein Azari Soufiani, Edo Airoldi
ECCV
2002
Springer
16 years 5 months ago
Audio-Video Sensor Fusion with Probabilistic Graphical Models
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
Matthew J. Beal, Hagai Attias, Nebojsa Jojic
SIGIR
2004
ACM
15 years 8 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
SETN
2004
Springer
15 years 8 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Item Preference Parameters from Grouped Ranking Observations
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
Hideitsu Hino, Yu Fujimoto, Noboru Murata