SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
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Label-noise resistant logistic regression for functional data classification with an application to Alzheimer's disease study.Supervised categorical principal component analysis for genome-wide association analyses.Sparse Exponential Family Principal Component Analysis.A Hierarchical Framework for State-Space Matrix Inference and Clustering.
P2860
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
name
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
@ast
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
@en
type
label
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
@ast
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
@en
prefLabel
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
@ast
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
@en
P2093
P2860
P356
P1476
SPARSE LOGISTIC PRINCIPAL COMPONENTS ANALYSIS FOR BINARY DATA
@en
P2093
Jianhua Hu
Jianhua Z Huang
Seokho Lee
P2860
P304
P356
10.1214/10-AOAS327
P577
2010-09-01T00:00:00Z