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» Modeling Signs Using Functional Data Analysis
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BMCBI
2006
118views more  BMCBI 2006»
13 years 7 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
JMLR
2012
11 years 10 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
CORR
2007
Springer
107views Education» more  CORR 2007»
13 years 7 months ago
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis
In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional...
Fabrice Rossi, Brieuc Conan-Guez
TMI
2008
138views more  TMI 2008»
13 years 7 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
DAC
2004
ACM
14 years 8 months ago
Defining coverage views to improve functional coverage analysis
Coverage analysis is used to monitor the quality of the verification process. Reports provided by coverage tools help users identify areas in the design that have not been adequat...
Sigal Asaf, Eitan Marcus, Avi Ziv