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PERCOM
2007
ACM
16 years 3 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
135
Voted
SAC
2006
ACM
15 years 9 months ago
Mining and analyzing the topological structure of protein-protein interaction networks
We report a comprehensive evaluation of the topological structure of protein-protein interaction (PPI) networks by mining and analyzing graphs constructed from the publicly availa...
Daniel Duanqing Wu, Xiaohua Hu
NIPS
1998
15 years 5 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
CORR
2010
Springer
188views Education» more  CORR 2010»
15 years 3 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
192
Voted
SIGMOD
2012
ACM
212views Database» more  SIGMOD 2012»
13 years 6 months ago
Local structure and determinism in probabilistic databases
While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
Theodoros Rekatsinas, Amol Deshpande, Lise Getoor