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» Measuring and Predicting Object Importance
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MICRO
1995
IEEE
140views Hardware» more  MICRO 1995»
15 years 2 months ago
A system level perspective on branch architecture performance
Accurate instruction fetch and branch prediction is increasingly important on today’s wide-issue architectures. Fetch prediction is the process of determining the next instructi...
Brad Calder, Dirk Grunwald, Joel S. Emer
CIKM
2009
Springer
15 years 5 months ago
Predicting the volume of comments on online news stories
On-line news agents provide commenting facilities for readers to express their views with regard to news stories. The number of user supplied comments on a news article may be ind...
Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
75
Voted
KES
2007
Springer
15 years 5 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
WOWMOM
2006
ACM
137views Multimedia» more  WOWMOM 2006»
15 years 5 months ago
Evaluating Context Information Predictability for Autonomic Communication
Delay tolerant and mobile ad hoc networks, present considerable challenges to the development of protocols and systems. In particular, the challenge of being able to cope with the...
Mirco Musolesi, Cecilia Mascolo
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
15 years 6 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...