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» Model selection via Genetic Algorithms for RBF networks
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CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 4 months ago
Selective Call Out and Real Time Bidding
Display ads on the Internet are increasingly sold via ad exchanges such as RightMedia, AdECN and Doubleclick Ad Exchange. These exchanges allow real-time bidding, that is, each ti...
Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Y...
CIDM
2009
IEEE
14 years 2 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
IJSYSC
2000
74views more  IJSYSC 2000»
13 years 7 months ago
Towards the evolutionary emergence of increasingly complex advantageous behaviours
The generation of complex entities with advantageous behaviours beyond our manual design capability requires long-term incremental evolution with continuing emergence. In this pap...
A. D. Channon, Robert I. Damper
WINE
2005
Springer
268views Economy» more  WINE 2005»
14 years 24 days ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
CORR
2010
Springer
101views Education» more  CORR 2010»
13 years 4 months ago
Binary is Good: A Binary Inference Framework for Primary User Separation in Cognitive Radio Networks
Primary users (PU) separation concerns with the issues of distinguishing and characterizing primary users in cognitive radio (CR) networks. We argue the need for PU separation in t...
Huy Anh Nguyen, Rong Zheng, Zhu Han