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168
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JMLR
2010
143views more  JMLR 2010»
14 years 11 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
16 years 5 months ago
Identifying non-actionable association rules
Building predictive models and finding useful rules are two important tasks of data mining. While building predictive models has been well studied, finding useful rules for action...
Bing Liu, Wynne Hsu, Yiming Ma
PERCOM
2009
ACM
15 years 11 months ago
A High-Performance Remote Computing Platform
— The pervasive computing environment and the wide network bandwidth provide users more opportunities to utilize remote computing resources. In this paper, we introduce a highper...
Huifeng Shen, Yan Lu, Feng Wu, Shipeng Li
CISS
2008
IEEE
15 years 11 months ago
Distributed processing in frames for sparse approximation
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
Christopher J. Rozell
137
Voted
NCA
2008
IEEE
15 years 11 months ago
Designing Mechanisms for Reliable Internet-based Computing
In this work, using a game-theoretic approach, costsensitive mechanisms that lead to reliable Internet-based computing are designed. In particular, we consider Internet-based mast...
Antonio Fernández Anta, Chryssis Georgiou, ...