Results 241 to 250 of about 112,882 (301)

Computed Tomography-Based Assessment of Sarcopenia and Disease Progression in Pancreatic Ductal Adenocarcinoma: A Radiomics and Machine Learning Approach. [PDF]

Gastroenterology Res
Krieg JR, Gallee L, Wolf D, Muller K, Goetz M, Ettrich TJ, Seufferlein T, Kloth C, Beer M, Vogele D.   +9 more
europepmc   +1 more source

Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation. [PDF]

JMIR AI
Kakraba S, Ayyadevara S, Yadem Clement A, Abraham KE, Compadre CM, Shmookler Reis RJ.   +5 more
europepmc   +1 more source

Testing Longitudinal Measurement Invariance of the Dutch PSS-10, MBI-ES, and PANAS in a Bimonthly 6-Month Panel. [PDF]

Psychol Belg
Van de Velde J, Weijters B, Levecque K.
europepmc   +1 more source

Analyzing the mahakam river water quality using the geographically weighted panel regression model. [PDF]

MethodsX
Fauziyah ZN, Suyitno S, Darnah, Hayati MN, Fauziyah M.   +4 more
europepmc   +1 more source

Correction to “Time‐of‐Flight Secondary Ion Mass Spectrometry‐Partial Least Square Regression for Quantifying Interleukin‐8 in Biopolymer Matrices”

Advanced NanoBiomed Research
Ralf Zimmermann, Mirko Nitschke, Marten Samulowitz, Nicholas R. Dennison, Carsten Werner   +4 more
doaj   +1 more source

Contemporary Treatment Responses of Recurrent Focal Segmental Glomerulosclerosis or Steroid Resistant Nephrotic Syndrome in Children after Kidney Transplantation: Phase 2 of a Multicenter Electronic Health Record Data Analysis

Dharnidharka VR, Moudgil A, Verghese PS, Tal L, Scobell RR, Kallash M, Davies AJG, Marchesani N, Maltenfort MG, Kelton M, Bock M, Blanchette E, Stone HK, Gluck C, Hullekes F, Riella LV, Smoyer WE, Mitsnefes M, Dixon BP, Flynn JT, Somers MJ, Forrest CB, Furth S, Denburg MR.   +23 more
europepmc   +1 more source

Non-destructive evaluation of microbial quality of beef (<i>M. longissimus thoracis</i> muscle) using visible/NIR hyperspectral imaging and machine learning methods. [PDF]

J Anim Sci Technol
Park S, Hong SJ, Lee CH, Kim E, Kim SY, Jo C, Kim G.   +6 more
europepmc   +1 more source

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Kernel Partial Least-Squares Regression

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
A couple of regularized least squares regression models in a feature space are extended by the kernel partial least squares (KPLS) regression model in this paper. PLS is a method based on the projection of input (explanatory) variables to the latent variables (components), and has been developed and established as one of the multivariate statistical ...
Bai Yifeng, Xiao Jian, Yu Long
openaire   +1 more source

Partial least squares regression for graph mining

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect informative subgraph patterns for a given learning task. We propose an iterative mining method based on partial least squares regression (PLS).
Hiroto Saigo, Nicole Krämer 0002, Koji Tsuda   +2 more
openaire   +2 more sources