Dynamically building diversified classifier pruning ensembles via canonical correlation analysis
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5718-x
Abstract: Empirical studies on ensemble learning that combines multiple classifiers have shown that, it is an effective technique to improve accuracy and stability of a single classifier. In this paper, we propose a novel method of… read more here.
Keywords: diversified classifier; canonical correlation; dynamically building; building diversified ... See more keywords
Canonical correlation of technological innovation and performance in sheep's dairy farms: Selection of a set of indicators
Sign Up to like & getrecommendations! Published in 2019 at "Agricultural Systems"
DOI: 10.1016/j.agsy.2019.102665
Abstract: Abstract Integrated dairy sheep system in Castilla La Mancha (Spain) suffers from a crisis based on lack of profitability. Technological innovation is a key factor to increase farm's viability. It requires the identification of the… read more here.
Keywords: dairy; canonical correlation; sheep; selection ... See more keywords
A canonical correlation analysis on the relationship between functional fitness and health-related quality of life in older adults.
Sign Up to like & getrecommendations! Published in 2017 at "Archives of gerontology and geriatrics"
DOI: 10.1016/j.archger.2016.08.007
Abstract: OBJECTIVE This study aimed to explore the relationship between the functional fitness (FF) and health-related quality of life (HRQoL) in older adults, and to identify the key subdimensions of FF and HRQoL influencing their overall… read more here.
Keywords: canonical correlation; hrqol; health; older adults ... See more keywords
Key-performance-indicator-related state monitoring based on kernel canonical correlation analysis
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DOI: 10.1016/j.conengprac.2020.104692
Abstract: Abstract As a multivariate statistical analysis method, canonical correlation analysis (CCA) performs well for state monitoring of linear processes, but most industrial processes are nonlinear. To solve this problem, kernel canonical correlation analysis (KCCA) has… read more here.
Keywords: state monitoring; analysis; canonical correlation; correlation ... See more keywords
SA26 SPARSE CANONICAL CORRELATION IN APPLICATION TO BIPOLAR PSYCHOTIC PHENOTYPES AND SCHIZOPHRENIA GENOME-WIDE SIGNIFICANT GENETIC LOCI
Sign Up to like & getrecommendations! Published in 2019 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2017.08.098
Abstract: Background The aetiology of Bipolar Disorder (BD) and Schizophrenia (SZ) involves a complex gene-environment interplay and this involves common risk alleles that are shared across the disorders. Bipolar disorder is heterogeneous in presentation and we… read more here.
Keywords: genome wide; sparse canonical; analysis; canonical correlation ... See more keywords
A Novel Dynamic Baysian Canonical Correlation Analysis Method for Fault Detection
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.874
Abstract: Abstract In the field of Multivariate Statistical Process Monitoring (MSPM), process dynamics has always been the focus. Besides, considering the uncertainty in chemical processes, latent variable models are extended to the probabilistic framework, in which… read more here.
Keywords: correlation analysis; process; canonical correlation; baysian canonical ... See more keywords
Fault detection of process correlation structure using canonical variate analysis-based correlation features
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2017.09.003
Abstract: Abstract This paper proposes a canonical variate analysis (CVA) approach based on feature representation of canonical correlation for the monitoring of faults associated with changes in process correlations, which involves two new metrics, R s… read more here.
Keywords: variate analysis; canonical correlation; canonical variate; correlation ... See more keywords
The optimal rate of canonical correlation analysis for stochastic processes
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2020.01.003
Abstract: Abstract Functional canonical correlation analysis (FCCA) has been applied in many contexts, but the asymptotic properties have not yet been studied enough. In this paper we consider a general setup resembling that of Eubank and… read more here.
Keywords: stochastic processes; optimal rate; correlation analysis; canonical correlation ... See more keywords
Is there a missing factor? A canonical correlation approach to factor models
Sign Up to like & getrecommendations! Published in 2018 at "Review of Financial Economics"
DOI: 10.1016/j.rfe.2017.11.002
Abstract: Title discontinued by Elsevier on 31 December 2017, and published by Wiley as of 1 January 2018. This pending paper which was ready for publication at the time of journal closure will be transferred to… read more here.
Keywords: canonical correlation; correlation approach; missing factor; approach factor ... See more keywords
Supervised Diagnosis of Quality and Process Faults with Canonical Correlation Analysis
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DOI: 10.1021/acs.iecr.9b00320
Abstract: Concurrent monitoring schemes that achieve simultaneous process and quality-relevant monitoring have recently attracted much attention. In this Article, we formulate a supervised fault diagnosis framework based on canonical correlation analysis (CCA) with regularization, which includes… read more here.
Keywords: diagnosis; quality relevant; quality; process ... See more keywords
Accelerated Kernel Canonical Correlation Analysis with Fault Relevance for Nonlinear Process Fault Isolation
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b03069
Abstract: In the field of multivariate statistical process monitoring (MSPM), fault isolation has attracted increasing attention, due to its importance in ensuring process reliability and product quality. However, the existing fault isolation methods are mostly limited… read more here.
Keywords: fault; fault isolation; canonical correlation; process ... See more keywords