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» Learning to learn with the informative vector machine
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ESSMAC
2003
Springer
14 years 2 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
IEEEPACT
2002
IEEE
14 years 2 months ago
Predicting Conditional Branches With Fusion-Based Hybrid Predictors
Researchers have studied hybrid branch predictors that leverage the strengths of multiple stand-alone predictors. The common theme among the proposed techniques is a selection mec...
Gabriel H. Loh, Dana S. Henry
DGO
2008
128views Education» more  DGO 2008»
13 years 10 months ago
Ontology generation for large email collections
This paper presents a new approach to identifying concepts expressed in a collection of email messages, and organizing them into an ontology or taxonomy for browsing. It incorpora...
Hui Yang, Jamie Callan
EMNLP
2006
13 years 10 months ago
Automatic classification of citation function
The automatic recognition of the rhetorical function of citations in scientific text has many applications, from improvement of impact factor calculations to text summarisation an...
Simone Teufel, Advaith Siddharthan, Dan Tidhar
FUIN
2008
142views more  FUIN 2008»
13 years 9 months ago
Relational Transformation-based Tagging for Activity Recognition
Abstract. The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks...
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De R...