• 不 限
  • 期刊论文
  • 硕博论文
  • 会议论文
  • 报 纸
  • 英文论文
  2. 您的位置
  3. 首页
  4. 会议论文
  5. Acceleration of convergence of the alternating least squares algorithm for mixed measurement level m

Acceleration of convergence of the alternating least squares algorithm for mixed measurement level m

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：luoyuqingyuan
【摘 要】
：
The alternating least squares(ALS)algorithm is a most popular iterative computational method for complex data,such as mixed measurement levels data.
【作 者】
：
Masahiro Kuroda M. Yuichi Mori Masaya Iizuka Michio Sakakihara 
【机 构】
：
Okayama University of Science,700-0005,Japan Okay
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
【关键词】
：
The ALS algorithm The vector ε algorithm Acceleration of convergence Re-starting 
下载到本地 , 更方便阅读
下载此文 赞助VIP
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
　　The alternating least squares(ALS)algorithm is a most popular iterative computational method for complex data,such as mixed measurement levels data.
其他文献
Boolean Networks for Big Data
One great challenge of big data research is to efficiently and accurately identify the inherent complex network structure.
会议
Network analysisBoolean networkBig data
Joint modelling of between-subject and within-subject covariance matrices
The constraints of high-dimensionality(HD)and positive-definiteness(PD)presents difficulties for modelling covariance matrix structures.
会议
longitudinal datacovariance matrix estimatorCholesky decomposition
The use of penalized likelihood for analyzing ranking data
In this paper,we consider different score functions in order summarize certain characteristics for one and two sample ranking data sets.
会议
Qxidative Stress Tolerance Induced by Antimony in Endophytic Aspergillus sp.Resistant to Antimony:It
Aspergillus sp.,an endophytic fungus,isolated from roots of an antimony(Sb)tolerant plant(Hedysarum pallidum Desf),shows tolérance to high Sb concentration(500 mM).
会议
Aspergillus sp.antimonymetalloidantioxidant enzymes
A New Weighted Partial Likelihood Method for Estimating Marginal Structural Hazard Models
Parameters in marginal structural Cox models can be estimated through an inverse probability of treatment and censoring(IPTC)weighted Cox partial likelihood.
会议
Case-base samplingEvent history analysisInverse probability of treatment and c
Nonparametric Dynamic Screening System for Monitoring Correlated Longitudinal Data
In many applications,including disease early detection and prevention,and performance evaluation of airplanes and other durable products,we need to sequentially monitor the longitudinal pattern of cer
会议
Cholesky decompositionDynamic screeningLongitudinal dataStatistical process c
Removing Unwanted Variation with Replicates and Negative Controls
High-throughput biological data,such as microarray data and gene sequencing data,are plagued by unwanted variation – systematic errors introduced by variations in experimental conditions such as tempe
会议
genomicslatent factorsnegative controlsunwanted variation
Leveraging Bayesian Network meta-analysis to improve drug development
The extent of phase 3 failures contributes significantly to the increasing costs of drug development.
会议
drug developmentBayesian network meta-analysis
Functional data analysis in application to dose-titration studies
Functional data analysis is powerful in analyzing data that can be represented by curves or images.
会议
functional datatesting of functional datafunctional mixed effect modelclinica
Incorporating historical data in Bayesian phase Ⅰ trial design:Evaluating the similarity in dose-tox
In oncology area,following a phase Ⅰ dose-finding trial completed in a certain population of patients,further phase Ⅰ trials are often conducted to determine the maximum tolerated dose(MTD)for differe
会议
Phase Ⅰ clinical trialdose-findingBayesian trial designhistorical databorrow