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» Modeling affordances using Bayesian networks
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KDD
2012
ACM
220views Data Mining» more  KDD 2012»
13 years 11 days ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...
ICML
2004
IEEE
15 years 10 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
HPCA
2009
IEEE
15 years 10 months ago
Express Cube Topologies for on-Chip Interconnects
Driven by continuing scaling of Moore's law, chip multiprocessors and systems-on-a-chip are expected to grow the core count from dozens today to hundreds in the near future. ...
Boris Grot, Joel Hestness, Stephen W. Keckler, Onu...
CIMCA
2005
IEEE
15 years 3 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet