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PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 10 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 7 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
CCGRID
2008
IEEE
15 years 6 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
APSEC
2009
IEEE
15 years 2 months ago
A Formal Framework to Integrate Timed Security Rules within a TEFSM-Based System Specification
Abstract--Formal methods are very useful in software industry and are becoming of paramount importance in practical engineering techniques. They involve the design and the modeling...
Wissam Mallouli, Amel Mammar, Ana R. Cavalli
ASPDAC
2009
ACM
143views Hardware» more  ASPDAC 2009»
15 years 11 months ago
Statistical modeling and analysis of chip-level leakage power by spectral stochastic method
In this paper, we present a novel statistical full-chip leakage power analysis method. The new method can provide a general framework to derive the full-chip leakage current or po...
Ruijing Shen, Ning Mi, Sheldon X.-D. Tan, Yici Cai...