The leave-one-participant-out classification process
Can I Leave This One Out? The Effect of Dropping an Item From the SUS
... is one that would only be used infrequently, then there is a concern that including this item would distort the scores, or at best, distract the ...within one point (out of a hundred) of the mean of ...
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Leave-One-Trial-Out, LOTO, a general approach to link single-trial parameters of cognitive models to neural data
... Accordingly, one would conclude from these analyses that investigating the neural basis of trial-by- trial variability in parameters k and b of the HD-LBA model might require testing more than 30 par- ticipants or ...
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Efficient approximate leave-one-out cross-validation for kernel logistic regression
... this process, each time using a refined grid centered on the best solution found at the previous ...Gaussian process classifier based on the Laplace approximation, the gradient of the marginal likelihood, ...
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Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
... four classification data sets (Ripley, Australian, Ionosphere, Sonar), one survival data set with censoring (Leukemia), and one data set for a Student’s t regression ...Several classification ...
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Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
... that one can determine optimal neighborhood for ecological studies in health using the leave-one-out cross validation that measures contextual information within a circular area centered on ...
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LEAF: Leave-one-out Forward Selection Method for Gene Selection in DNA Microarray Data
... Finally, we extract a highly robust set of genes in a classification based on discriminant power, called DPS. DPS is a parameter of the class discriminant ability defined for all genes. DP S ( k ) (1 k T G ) ...
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Fast kernel classifier construction using orthogonal forward selection to minimise leave one out misclassification rate
... w 2 j (i) κ j +λ j . (19) In the following it is shown that computational expense associated with clas- sifier regressors determination can be significantly reduced by utilising the OFS process via a recursive ...
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Spatial Analysis Approach in Revealing the Global Sinks of Atmosphere Carbon Dioxide through “Leave One Out” Method
... this process for each of sites in each year and considering the results and trends of them, it will be possible to extract out the most absorption or emission places among them ...
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Construction of RBF classifiers with tunable units using orthogonal forward selection based on leave one out misclassification rate
... units one by one by minimising the LOO misclassi- fication rate, which is a measure of the model generalisation ...Three classification benchmark ...
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Sparse kernel density construction using orthogonal forward regression with leave one out test score and local regularization
... A local regularization method is incorporated naturally into the density construction process to further enforce sparsity. An additional advantage of the proposed algorithm is that it is fully automatic and the ...
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Sparse kernel density construction using orthogonal forward regression with leave one out test score and local regularization
... construction process. The computational efficiency of using the delete-one cross validation is ensured by using the orthogonal least squares algorithm [21], [22], as is first shown in [20], and ...
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Automatic kernel regression modelling using combined leave one out test score and regularised orthogonal least squares
... orthogonalisation process for avoiding a matrix inversion in the computation of the PRESS ...construction process as a cost function in order to optimise the model generalisation ...
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Reduction from Cost-sensitive Multiclass Classification to One-versus-one Binary Classification
... 7 out of the 10 data sets, CSOVO is significantly better than OVO, which justifies that it can be useful to include the cost information into the training ...
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Making Local Governance Inclusive for the 'Leave No One Behind' Agenda
... 1. What do we know about the impact of decentralised local governments on marginalised people? A major aim of decentralised governance is to bring government closer to people and, in the process, deliver services ...
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Applications of Tikhonov regularization on regression and classification with fast «leave one out»cross-validation
... «leave one out» kryssvalidering: kryssvalidering uten å bygge modellen på nytt for hver utelatte ...«leave one out» kryssvalidering for alle datasettene jeg har ...
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Leave one out Word Alignment without Garbage Collector Effects
... carried out on the subset of alignment links that had a rare word on the source ...the leave-one-out method punishes rare words more than the Kneser-Ney smoothing method, by totally removing ...
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Leave One Out Phrase Model Training for Large Scale Deployment
... 4.2 Insertion/Deletion Phrases Unless explicitly stated, all experiments here used the weak bigram LMs to obtain the lambdas used for forced alignment, and on-demand insertion/deletion phrases are applied. For the size ...
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Balanced Leave-One-Subject-Out Cross-Validation for Microsleep Detection
... Armin Luik, Medizinische Klinik IV, Städtisches Klinikum Karlsruhe, Karlsruhe, Germany, armin.luik@klinikum- karlsruhe.de Introduction Atrial arrhythmias are caused by arrhythmogenic substrate that provokes and supports ...
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Algebraic shortcuts for leave-one-out cross-validation in supervised network inference
... only one regularization parameter λ, whereas two-step KRR has two regularization parameters, λ u and λ v ...a one-dimensional grid of hyperparameters has to be ...
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Leave Out Allowance Request Letter
... All out allowance so that it by a great success in texarkana gazette is notified me with allowance request leave out letter! There will be conditions that should easily be satisfied Such conditions ...
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