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ICANN
2007
Springer
15 years 10 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
SADM
2010
141views more  SADM 2010»
15 years 1 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
ICCAD
1993
IEEE
100views Hardware» more  ICCAD 1993»
15 years 11 months ago
Macromodeling of the A.C. characteristics of CMOS Op-amps
An analytical-knowledge-based statistical method is developed to derive macromodels for the highly nonlinear A.C. response functions of CMOS Op-amp circuits. Simple circuit analys...
Pradip Mandal, V. Visvanathan
BMCBI
2010
165views more  BMCBI 2010»
15 years 6 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
AINA
2008
IEEE
16 years 1 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh