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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06211-3
Abstract: Although cancer diagnosis research has continuously made breakthroughs in a single indicator, it is a challenging task to improve its multiple joint indicators. This study proposes a multi-category multi-state information ensemble-based classification method. We fuse…
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Keywords:
state;
classification;
information;
diagnosis ... See more keywords
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Published in 2017 at "Journal of Business Economics"
DOI: 10.1007/s11573-016-0820-x
Abstract: We extend the usual specification of the multivariate probit model frequently used to analyze multi-category purchase incidence data by introducing interaction effects between marketing variables. Models are estimated by a Markov Chain Monte Carlo simulation…
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Keywords:
usual specification;
multi category;
marketing variables;
analyzing dependences ... See more keywords
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Published in 2018 at "Journal of the Academy of Marketing Science"
DOI: 10.1007/s11747-017-0552-7
Abstract: When companies plan to build multi-category brands by adding new products to their product lines, two questions loom large: (1) whether and (2) when brand extensions perceived as distant (comparatively dissimilar) from the company’s existing…
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Keywords:
extensions introduced;
multi category;
distant brand;
brand ... See more keywords
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Published in 2017 at "Review of Managerial Science"
DOI: 10.1007/s11846-016-0193-0
Abstract: We focus on cross effects of marketing variables and cross category dependences for multi-category decisions which households take during a shopping trip to a retail store. A cross effect is defined as the effect which…
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Keywords:
category;
product;
multi category;
cross effects ... See more keywords
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Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0493-3
Abstract: This paper attempts to combine Laplacian Twin Support Vector Machine (Lap-TWSVM) and Decision Tree Twin Support Vector Machine classifier to obtain an effective tree based classifier for semi-supervised multi-category classification. This classifier is termed as…
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Keywords:
lap twsvm;
twsvm;
tree based;
multi category ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3163527
Abstract: The practical task of Automatic Check-Out (ACO) is to accurately predict the presence and count of each product in an arbitrary product combination. Beyond the large-scale and the fine-grained nature of product categories as its…
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Keywords:
self supervised;
supervised multi;
check;
category counting ... See more keywords
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Published in 2019 at "Biometrics"
DOI: 10.1111/biom.13084
Abstract: Individualized treatment regimes (ITRs) aim to recommend treatments based on patient-specific characteristics in order to maximize the expected clinical outcome. Outcome weighted learning approaches have been proposed for this optimization problem with primary focus on…
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Keywords:
individualized treatment;
outcome;
treatment;
outcome weighted ... See more keywords
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Published in 2021 at "BMC Genomics"
DOI: 10.1186/s12864-021-08107-x
Abstract: Background Advancements in statistical methods and sequencing technology have led to numerous novel discoveries in human genetics in the past two decades. Among phenotypes of interest, most attention has been given to studying genetic associations…
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Keywords:
multi category;
family samples;
score test;
family ... See more keywords