Kernel method

Part 1 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Overview of supervised learning; Chapter 3 - Linear methods for regression; Chapter 4 - Linear methods for classification; Chapter 5 - Basis expansions and regularization; Chapter 6 - Kernel smoothing methods; Chapter 7 - Model assessment and selection; Chapter 8 - Model inference and averaging; Chapter 9 - Additive models, trees, and related methods;...

355p daonhiennhien 03-07-2024 2 1   Download

Ebook "Energy risk modeling: Applied modeling methods for risk managers" is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through elementary and more advanced statistical Methods, it is primarily aimed at those individuals who need a gentle introduction in how to go about using statistical methods for modeling energy price risk. Statistical ideas are presented by outlining the necessary concepts and illustrating how these ideas can be implemented.

268p tuongnhuoclan 28-11-2023 12 4   Download

Ebook "Statistical pattern recognition" includes content: Introduction to statistical pattern recognition, density estimation – parametric, density estimation – nonparametric, linear discriminant analysis, nonlinear discriminant analysis – kernel methods, nonlinear discriminant analysis – projection methods, tree-based methods, performance, feature selection and extraction, clustering, additional topics,... and other contents.

515p haojiubujain07 20-09-2023 3 2   Download

This research work relies on kernel regression methods for constructing nonlinear regression models. These models can be used to solve function approximation tasks in construction engineering. The newly developed software program was developed with the Visual C# .NET. The program has been tested with the task of estimating the punching shear strength of steel fibre reinforced concrete slab.

7p nhanchienthien 25-07-2023 6 4   Download

Continued part 1, part 2 of ebook "Bayesian and frequentist regression methods" has presents the following content: dependent data; linear models; general regression models; nonparametric modeling; preliminaries for nonparametric regression; spline and kernel methods; nonparametric regression with multiple predictors; appendices and differentiation of matrix expressions; matrix results;...

335p dieptieuung 20-07-2023 4 3   Download

Part 1 of ebook "Aeroservoelasticity: Modeling and control" presents the following content: aeroservoelasticity; structural modeling; unsteady aerodynamic modeling; integral equation for linear compressible flow; subsonic kernel function and the doublet-lattice method;...

161p dieptieuung 14-07-2023 6 1   Download

New product development is one of the most effective methods to expand the economic value of corn, which is currently a low-cost agricultural material. The present study was conducted to determine the production process of straws from corn kernel under the laboratory scale. The influences of mixing formula, steaming time, screw speed, and drying temperature on hardness and expansion time of the drinking straws from corn kernels were investigated.

6p viporsche 03-11-2022 14 4   Download

(BQ) Ebook Methods in human growth research: Part 1 presents the following content: Why study child growth and maturation? the human growth curve: distance, velocity and acceleration; sampling for growth studies and using growth data to assess, monitor and survey disease in epidemiological settings; measuring growth; measuring maturity; measuring body composition; kernel estimation, shape-invariant modelling and structural analysis.

219p runordie7 30-08-2022 6 2   Download

Part 2 of book "Introduction to machine learning" provide with knowledge about: optimization; unconstrained smooth convex minimization; online learning and boosting; conditional densities; kernels and function spaces; linear models;...

136p britaikridanik 05-07-2022 32 4   Download

The SVM model delivered optimum performance with the radial basis kernel, C=10, and gamma=0.0001. In the proposed method, same priority was given to processing time (testing time) and accuracy, as traffic sign identification is time critical. The final accuracy obtained was 87% (with confidence interval 84%-90%) with a processing time of 0.64s (with confidence interval of 0.57s-0.67s) for correct detection at testing, which emphasizes the effectiveness of the proposed method.

5p spiritedaway36 28-11-2021 10 1   Download

This paper proposes a new image processing model of the cardiac end-systolic and end-diastolic phase considered using image processing methods and for the segmentation of time series of medical images. This type of model is a unique design, since few attempt have been made to analyze the systolic heart interactions and diastolic relaxation using image processing methods.

6p phanngocminhtam 14-09-2021 16 1   Download

In the process of post-transcription, microRNAs (miRNAs) are closely related to various complex human diseases. Traditional verification methods for miRNA-disease associations take a lot of time and expense, so it is especially important to design computational methods for detecting potential associations.

15p viseulgi2711 31-08-2021 6 1   Download

Kernel weight and morphology are important traits affecting cereal yields and quality. Dissecting the genetic basis of thousand kernel weight (TKW) and its related traits is an effective method to improve wheat yield.

15p vijichea2711 28-05-2021 5 1   Download

This study aims to employ highly efficient ultrasound-assisted extraction of tamanu oil from seed kernel. Response surface methodology (RSM) with Box-Hunter design was used to investigate the simultaneous effects of multi-factors encompassing extraction time, temperature, and solvent-to-material ratio. The optimum combination of those factors was then determined to ensure optimum extraction efficiencies [12, 13]. The extracted oil was evaluated in terms of physicochemical indexes, composition, and wound healing activity.

13p cothumenhmong9 07-01-2021 18 1   Download

Groundnut kernels are highly sensitive to seed deterioration mainly due to their chemical composition and moisture content. During the seed deterioration membrane degradation precedes loss of seed vigour and germination. Membrane degradation is measured by the electrical conductivity of seed leachate.

6p gaocaolon9 22-12-2020 13 2   Download

Kernel-based classification is the current state-of-the-art for extracting pairs of interacting proteins (PPIs) from free text. Various proposals have been put forward, which diverge especially in the specific kernel function, the type of input representation, and the feature sets.

20p viwyoming2711 16-12-2020 12 0   Download

Drug-target networks are receiving a lot of attention in late years, given its relevance for pharmaceutical innovation and drug lead discovery. Different in silico approaches have been proposed for the identification of new drug-target interactions, many of which are based on kernel methods.

16p vioklahoma2711 19-11-2020 9 2   Download

Recognizing the different functional parts of genes, such as promoters, translation initiation sites, donors, acceptors and stop codons, is a fundamental task of many current studies in Bioinformatics. Currently, the most successful methods use powerful classifiers, such as support vector machines with various string kernels.

16p vioklahoma2711 19-11-2020 12 2   Download

Pathway expression is multivariate in nature. Thus, from a statistical perspective, to detect differentially expressed pathways between two conditions, methods for inferring differences between mean vectors need to be applied.

7p vioklahoma2711 19-11-2020 6 1   Download

Identifying molecular signatures of disease phenotypes is studied using two mainstream approaches: (i) Predictive modeling methods such as linear classification and regression algorithms are used to find signatures predictive of phenotypes from genomic data, which may not be robust due to limited sample size or highly correlated nature of genomic data.

13p vioklahoma2711 19-11-2020 13 0   Download