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ESANN
2006
13 years 9 months ago
Consistent estimation of the architecture of multilayer perceptrons
Abstract. We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done b...
Joseph Rynkiewicz
BMCBI
2008
103views more  BMCBI 2008»
13 years 8 months ago
Parameter estimation for robust HMM analysis of ChIP-chip data
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
Peter Humburg, David Bulger, Glenn Stone
MANSCI
2010
83views more  MANSCI 2010»
13 years 2 months ago
The Behavior of Risk and Market Prices of Risk Over the Nasdaq Bubble Period
We exploit the information in the options market to study the variations of return risk and market prices of different sources of risk during the rise and fall of the Nasdaq marke...
Gurdip Bakshi, Liuren Wu
SACMAT
2011
ACM
12 years 10 months ago
Modeling data flow in socio-information networks: a risk estimation approach
Information leakage via the networks formed by subjects (e.g., Facebook, Twitter) and objects (e.g., blogosphere) − some of whom may be controlled by malicious insiders − ofte...
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling...
ICASSP
2009
IEEE
14 years 2 months ago
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion m
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
Sungrack Yun, Chang D. Yoo