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» Multiple Kernel Clustering.
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109
Voted
NIPS
2004
15 years 2 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...
115
Voted
WEBI
2010
Springer
14 years 10 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
141
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Interference alignment in clustered ad hoc networks: High reliability regime and per-cluster aloha
Wireless networks are fundamentally limited by the intensity of the received signals and the mutual interference caused by many concurrent transmissions. We consider large wireles...
Roland Tresch, Giusi Alfano, Maxime Guillaud
ICML
2007
IEEE
16 years 1 months ago
Statistical predicate invention
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
Stanley Kok, Pedro Domingos
115
Voted
GLOBECOM
2009
IEEE
15 years 7 months ago
A Decentralized Framework for Dynamic Downlink Base Station Cooperation
— Multiple Base Station (Multi-BS) cooperation has been considered as a promising mechanism to suppress cochannel interference and boost the capacity for cellular networks. Howev...
Sheng Zhou, Jie Gong, Zhisheng Niu, Yunjian Jia, P...