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HIS
2004
15 years 5 months ago
Selection of Time Series Forecasting Models based on Performance Information
In this work, we proposed to use the Zoomed Ranking approach to rank and select time series models. Zoomed Ranking, originally proposed to generate a ranking of candidate algorith...
Patrícia Maforte dos Santos, Teresa Bernard...
AAAI
1992
15 years 5 months ago
Automated Model Selection Using Context-Dependent Behaviors
Effective problem-solving about complex engineered devices requires device models that are both adequate for the problem and computationally efficient . Producing such models requ...
P. Pandurang Nayak, Leo Joskowicz, Sanjaya Addanki
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 7 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
ECAI
2010
Springer
15 years 5 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
NIPS
2003
15 years 5 months ago
A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell
The relative depth of objects causes small shifts in the left and right retinal positions of these objects, called binocular disparity. Here, we describe a neuromorphic implementa...
Eric K. C. Tsang, Bertram Emil Shi