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CCE
2007
15 years 6 months ago
Adaptive optimisation of noisy black-box functions inherent in microscopic models
For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic simulations are computationally expensive, th...
Eddie Davis, Marianthi G. Ierapetritou
SENSYS
2010
ACM
15 years 4 months ago
Adaptive decentralized control of underwater sensor networks for modeling underwater phenomena
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradientbased dec...
Carrick Detweiler, Marek Doniec, Mingshun Jiang, M...
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
15 years 13 days 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 9 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
GG
2004
Springer
16 years 4 days ago
Event-Driven Grammars: Towards the Integration of Meta-modelling and Graph Transformation
In this work we introduce event-driven grammars, a kind of graph grammars that are especially suited for visual modelling environments generated by meta-modelling. Rules in these g...
Esther Guerra, Juan de Lara