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JMLR
2010
143views more  JMLR 2010»
14 years 4 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
MIDDLEWARE
2010
Springer
14 years 8 months ago
Adapting Distributed Real-Time and Embedded Pub/Sub Middleware for Cloud Computing Environments
Enterprise distributed real-time and embedded (DRE) publish/subscribe (pub/sub) systems manage resources and data that are vital to users. Cloud computing—where computing resourc...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...
IJCNN
2007
IEEE
15 years 4 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
TPDS
2010
89views more  TPDS 2010»
14 years 8 months ago
Energy-Efficient Protocol for Deterministic and Probabilistic Coverage in Sensor Networks
—Various sensor types, e.g., temperature, humidity, and acoustic, sense physical phenomena in different ways, and thus, are expected to have different sensing models. Even for th...
Mohamed Hefeeda, Hossein Ahmadi
BMCBI
2010
160views more  BMCBI 2010»
14 years 10 months ago
Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins
Background: Protein-protein interactions play a key role in biological processes of proteins within a cell. Recent high-throughput techniques have generated protein-protein intera...
Young-Rae Cho, Aidong Zhang