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» Learning Behavior Models for Hybrid Timed Systems
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UAI
2004
15 years 5 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
ISPASS
2009
IEEE
15 years 11 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
13 years 12 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
WWW
2010
ACM
15 years 4 months ago
Using a model of social dynamics to predict popularity of news
Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items ...
Kristina Lerman, Tad Hogg
CIKM
2003
Springer
15 years 9 months ago
Queueing analysis of relational operators for continuous data streams
Currently, stream data processing is an active area of research, which includes everything from algorithms and architectures for stream processing to modelling and analysis of var...
Qingchun Jiang, Sharma Chakravarthy