ordinal classification
Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing
... a classification task because the values of the class are in fact labels, although they are commonly represented by ...in classification problems due to the existence of the ordering ...from ...
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Metrics to guide a multi-objective evolutionary algorithm for ordinal classification
... In ordinal classification, it is common to use several error functions when some of the classes have a number of patterns much lower than the others, ...i.e. ordinal im- balanced ...another ...
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An Improved Sampling Algorithm for Imbalanced Data Sets in the context of Ordinal Classification
... In our experiments, minority classes are identified using IR value lies higher than 1.5. Both overall accuracy and per class accuracy are the vital factors for ordinal classification problem. We use the ...
9
Exploitation of Pairwise Class Distances for Ordinal Classification
... real ordinal classification problems. The ordinal regression benchmark datasets repository provided by Chu ...real ordinal classification datasets but regression ...into ordinal ...
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Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
... Monotonicity can be defined when the model output is or- dered, including ordinal classification, which seeks to as- sign objects to two or more ordered classes (but where the distances between classes are ...
8
Ordinal Classification Method for the Evaluation Of Thai Non-life Insurance Companies
... multi-class classification model consists of the priority for further examination (High, Medium, and Low ...two-class classification (healthy and insolvency) and multi-class classification (healthy, ...
5
Ordinal Classification Method for the Evaluation Of Thai Non-life Insurance Companies
... The classification of data with imbalanced class distribution has posed a significant drawback on the performance of most standard classifiers, which assume a relatively balanced class distribution and equal ...
5
Ordinal regression methods: Survey and experimental study
... to ordinal regression (also called ordinal classification) problems, where the labels of the target variable exhibit a natural ...an ordinal scale {poor, average, good, very good, ...of ...
22
Ordinal HyperPlane Loss
... for ordinal classification would assess the ordering of the data and form discrete homogeneous class groupings without imposing an equal “distance” assumption between predicted ...
164
Semi-supervised learning for ordinal Kernel Discriminant Analysis
... consider ordinal cost matrices when computing kernel-target alignment, in order to penalise dif- ferently misalignment ...in ordinal classification for this cost matrix is to use the absolute errors, ...
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Ordinal based Classification Techniques: A Survey
... Ordinal classification can be performed using various ...of ordinal problems into other standard problems in the field of pattern ...perform ordinal classification are included under ...
5
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
... and Classification Algorithms) is a Matlab/Octave frame- work that implements and integrates different ordinal classification algorithms and specif- ically designed performance ...
5
Oversampling Methods for Imbalanced Dataset Classification and their Application to Gynecological Disorder Diagnosis
... A new oversampling method called Adaptive Semi-Unsupervised Weighted Oversampling (A-SUWO) is presented for imbalanced binary dataset classification. A-SUWO finds hard-to-learn instances by first clustering the ...
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Autoregressive transitional ordinal model to test for treatment effect in neurological trials with complex endpoints
... The objective was to propose a new approach to the analysis of complex ordinal endpoints in neurological clinical trials, and provide statistical power comparisons of procedures for treatment effect testing. ...
13
Equilibria in ordinal status games
... between ordinal and cardinal approaches: in the first case, the status of a player is determined by the comparisons with other players’ choices; in the second case, by the differences between ...
12
Are oral health and fixed orthodontic appliances associated with sports injuries and postural stability in elite junior male soccer players?
... Results: Ordinal logistic regression with number of injuries in the past year as ordinal dependent variable and dental caries and/or gum problems, age and player position as covariates, showed that ...
7
Analysis of ordinal data with cumulative link models estimation with the R-package ordinal
... Ordered categorical data, or simply ordinal data, are commonplace in scientific disciplines where humans are used as measurement instruments. Examples include school gradings, ratings of preference in consumer ...
31
On continuous ordinal potential games
... never reaches, nor even approaches, a Nash equilibrium. It may be noted that the players have no reason to regret this failure because their utility levels at the equilibrium are h0, 0i. 4.7. Our approach is purely ...
7
Predicting Grammaticality on an Ordinal Scale
... different from our system since it relies on par- tial tree-substitution grammar derivations as fea- tures. We use the feature computation components of that system but replace its statistical model. The system was ...
7
Beyond magnitude: Judging ordinality of symbolic number is unrelated to magnitude comparison and independently relates to individual differences in arithmetic
... and ordinal processing of number symbols, it is critical to investigate whether the NDE and RDE explain shared or independent variance in individual differences in math ...
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