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147
Voted
KDD
2009
ACM
203views Data Mining» more  KDD 2009»
16 years 3 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
117
Voted
HPDC
2007
IEEE
15 years 9 months ago
Feedback-directed thread scheduling with memory considerations
This paper describes a novel approach to generate an optimized schedule to run threads on distributed shared memory (DSM) systems. The approach relies upon a binary instrumentatio...
Fengguang Song, Shirley Moore, Jack Dongarra
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 3 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
SIGIR
2003
ACM
15 years 8 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
16 years 20 days ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov