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CAISE
2010
Springer
15 years 7 months ago
Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
ECAI
2010
Springer
15 years 7 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,...
CORR
2010
Springer
34views Education» more  CORR 2010»
15 years 6 months ago
Statistical Modelling of ft to Process Parameters in 30 nm Gate Length Finfets
This paper investigates the effect of process variations on unity gain frequency (ft) in 30 nm gate length FinFET by performing extensive TCAD simulations. Six different geometric...
B. Lakshmi, R. Srinivasan
CORR
2008
Springer
179views Education» more  CORR 2008»
15 years 6 months ago
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
Soummya Kar, José M. F. Moura, Kavita Raman...
ESWA
2006
86views more  ESWA 2006»
15 years 6 months ago
Modeling consumer acceptance probabilities
This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to choose the optimal set of parameters f...
L. C. Thomas, Ki Mun Jung, Steve D. Thomas, Y. Wu