Results 11 to 20 of about 13,970 (183)

A comprehensive comparison of various machine learning algorithms used for predicting the splitting tensile strength of steel fiber-reinforced concrete

open access: yesCase Studies in Construction Materials
Incorporating steel fibers into concrete effectively enhances its tensile strength by managing crack formation, increasing toughness and ductility, and reducing brittleness, making it a valuable choice for various applications, including bridge decks ...
Seyed Soroush Pakzad   +2 more
doaj   +1 more source

Expression-based aliasing for OO-languages

open access: yes, 2014
Alias analysis has been an interesting research topic in verification and optimization of programs. The undecidability of determining whether two expressions in a program may reference to the same object is the main source of the challenges raised in ...
Caltais, Georgiana
core   +1 more source

Multinomial Inverse Regression for Text Analysis [PDF]

open access: yes, 2013
Text data, including speeches, stories, and other document forms, are often connected to sentiment variables that are of interest for research in marketing, economics, and elsewhere.
Taddy, Matt
core   +1 more source

Selection of Ordinally Scaled Independent Variables [PDF]

open access: yes, 2009
Ordinal categorial variables are a common case in regression modeling. Although the case of ordinal response variables has been well investigated, less work has been done concerning ordinal predictors.
Gertheiss, Jan   +3 more
core   +1 more source

Pathwise coordinate optimization

open access: yes, 2007
We consider ``one-at-a-time'' coordinate-wise descent algorithms for a class of convex optimization problems. An algorithm of this kind has been proposed for the $L_1$-penalized regression (lasso) in the literature, but it seems to have been largely ...
Friedman, Jerome   +3 more
core   +2 more sources

A decision-theoretic approach for segmental classification

open access: yes, 2013
This paper is concerned with statistical methods for the segmental classification of linear sequence data where the task is to segment and classify the data according to an underlying hidden discrete state sequence.
Holmes, Christopher C., Yau, Christopher
core   +1 more source

Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis

open access: yesBiomedicines
Background: Ischemic heart disease (IHD) impacts the quality of life and is the most frequently reported cause of morbidity and mortality globally. Aims: To assess the changes in the exhaled volatile organic compounds (VOCs) in patients with vs.
Basheer Abdullah Marzoog   +10 more
doaj   +1 more source

Learning Dynamic Feature Selection for Fast Sequential Prediction

open access: yes, 2015
We present paired learning and inference algorithms for significantly reducing computation and increasing speed of the vector dot products in the classifiers that are at the heart of many NLP components.
McCallum, Andrew   +3 more
core   +1 more source

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

The diagnostic value of a nomogram based on enhanced CT radiomics for differentiating between intrahepatic cholangiocarcinoma and early hepatic abscess

open access: yesFrontiers in Molecular Biosciences
ObjectiveThis study aimed to investigate the value of a CT-enhanced scanning radiomics nomogram in distinguishing between early hepatic abscess (EHA) and intrahepatic cholangiocarcinoma (ICC) and to validate its diagnostic efficacy.Materials and ...
Meng-chen Yang   +9 more
doaj   +1 more source

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