PENAKSIRAN FUNGSI DENSITAS TIPE KERNEL DENGAN METODE CROSS-VALIDATION (C-V)
The choice of the bandwidth h is the main problem of kernel density function. In some situations it might be quite useful to have a set of retes corresponding to different bandwidth.It is necessary to agree which bandwidth is an appropriate one.
Mozart W. Talakua
doaj +1 more source
A theory of cross-validation error [PDF]
This paper presents a theory of error in cross-validation testing of algorithms for predicting real-valued attributes. The theory justifies the claim that predicting real-valued attributes requires balancing the conflicting demands of simplicity and ...
Turney, Peter D.
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Geostatistical-based geophysical model of electrical resistivity and chargeability data applied to image copper mineralization in the Ghalandar deposit, Iran [PDF]
This research aims to construct 3D geophysical models of electrical resistivity and induced polarization by interpolating 2D inverted physical models through the geostatistical approach.
Siavash Salarian +3 more
doaj +1 more source
Identifying the interactions between disease and microRNA (miRNA) can accelerate drugs development, individualized diagnosis, and treatment for various human diseases. However, experimental methods are time-consuming and costly.
Chunyan Li +4 more
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Human activity recognition making use of long short-term memory techniques [PDF]
The optimisation and validation of a classifiers performance when applied to real world problems is not always effectively shown. In much of the literature describing the application of artificial neural network architectures to Human Activity ...
Shenfield, Alex, Wainwright, Richard
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Assessing behavioural changes in ALS: cross-validation of ALS-specific measures [PDF]
Objective: The Beaumont Behavioural Inventory (BBI) is a behavioural proxy report for the assessment of behavioural changes in ALS. This tool has been validated against the FrSBe, a non-ALS specific behavioural assessment, and further comparison of the ...
BR Brooks +16 more
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Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS
Basic chemometric methods for making empirical regression models for QSPR/QSAR are briefly described from a user's point of view. Emphasis is given to PLS regression, simple variable selection and a careful and cautious evaluation of the performance of ...
Kurt Varmuza +2 more
doaj +3 more sources
Attribute Selecting in Tree-Augmented Naive Bayes by Cross Validation Risk Minimization
As an important improvement to naive Bayes, Tree-Augmented Naive Bayes (TAN) exhibits excellent classification performance and efficiency since it allows that every attribute depends on at most one other attribute in addition to the class variable ...
Shenglei Chen +2 more
doaj +1 more source
Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods. [PDF]
Incorporating measurements on correlated traits into genomic prediction models can increase prediction accuracy and selection gain. However, multi-trait genomic prediction models are complex and prone to overfitting which may result in a loss of ...
Cheng, Hao, Runcie, Daniel
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Local Cross-validation for Spectrum Bandwidth Choice [PDF]
We investigate an automatic method of determining a local bandwidth for non-parametric kernel spectral density estimates at a single frequency. This procedure is a modification of a cross-validation technique for global bandwidth choices, avoiding the ...
Velasco, Carlos
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