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AAAI
2011
14 years 6 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
HPDC
2009
IEEE
16 years 1 months ago
Trace-based evaluation of job runtime and queue wait time predictions in grids
Large-scale distributed computing systems such as grids are serving a growing number of scientists. These environments bring about not only the advantages of an economy of scale, ...
Omer Ozan Sonmez, Nezih Yigitbasi, Alexandru Iosup...
ICPR
2002
IEEE
15 years 11 months ago
Motion Prediction Using VC-Generalization Bounds
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
TPDS
2002
80views more  TPDS 2002»
15 years 6 months ago
Performance Optimization Problem in Speculative Prefetching
Speculative prefetching has been proposed to improve the response time of network access. Previous studies in speculative prefetching focus on building and evaluating access models...
Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh, Saj...
CHI
2007
ACM
16 years 6 months ago
Towards a tool for predicting user exploration
CogTool-Explorer is a tool to predict user exploration choices given a user interface and task. We describe the integration of components that make up CogToolExplorer, and how it ...
Leonghwee Teo, Bonnie E. John, Peter Pirolli