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» An Improved LAZY-AR Approach to Bayesian Network Inference
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JMLR
2010
154views more  JMLR 2010»
15 years 29 days ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
CN
2008
108views more  CN 2008»
15 years 4 months ago
An approach to the identification of network elements composing heterogeneous end-to-end paths
Today's networks are becoming increasingly complex and the ability to effectively and efficiently operate and manage them is ever more challenging. Ways to provide end-to-end...
Alessio Botta, Antonio Pescapè, Giorgio Ven...
IJCV
2007
134views more  IJCV 2007»
15 years 6 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
IPPS
2006
IEEE
16 years 6 days ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
EWSN
2004
Springer
16 years 5 months ago
Context-Aware Sensors
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
Eiman Elnahrawy, Badri Nath