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» Polynomial Learning of Distribution Families
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ICML
2008
IEEE
14 years 10 months ago
Statistical models for partial membership
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 11 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
CLUSTER
2009
IEEE
14 years 4 months ago
Oblivious routing schemes in extended generalized Fat Tree networks
—A family of oblivious routing schemes for Fat Trees and their slimmed versions is presented in this work. First, two popular oblivious routing algorithms, which we refer to as S...
Germán Rodríguez, Cyriel Minkenberg,...
ACMIDC
2009
13 years 7 months ago
Developing a media space for remote synchronous parent-child interaction
While supporting family communication has traditionally been a domain of interest for interaction designers, few research initiatives have explicitly investigated remote synchrono...
Svetlana Yarosh, Stephen Cuzzort, Hendrik Mül...
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 6 months ago
Rules of Thumb for Information Acquisition from Large and Redundant Data
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
Wolfgang Gatterbauer