Results 51 to 60 of about 1,113,356 (231)
Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM
Machine learning has been successfully applied to many areas of science and engineering. Some examples include time series prediction, optical character recognition, signal and image classification in biomedical applications for diagnosis and prognosis ...
J. M. Gorriz +8 more
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This study aims to determine the relationship of teacher involvement in the Subject Teachers Association (MGMP), pedagogical and professional competencies of civic teachers with the learning outcomes of high school students in Malang.
Auliah Safitri, Abdul Gafur
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Background Multifactor Dimensionality Reduction (MDR) is a novel method developed to detect gene-gene interactions in case-control association analysis by exhaustively searching multi-locus combinations.
Motsinger-Reif Alison A
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Data distribution analysis – a preliminary approach to quantitative data in biomedical research
Statistical analysis is an integral part of medical research. It helps transform raw data into meaningful insights, supports hypothesis testing, optimises study design, assesses risk and prognosis, and facilitates evidence-based decision-making.
Przemysław Guzik, Barbara Więckowska
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Cerebellum, Basal Ganglia, and Cortex Mediate Performance of an Aerial Pursuit Task
The affordance competition hypothesis is an ethologically inspired theory from cognitive neuroscience that provides an integrative neural account of continuous, real-time behavior, and will likely become increasingly relevant to the growing field of ...
Robert J. Gougelet +4 more
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The Effect of Inquiry Based Learning on Students Mastery of Concept and Social Skills
Inquiry Based Learning is a learning strategy that provides space for students to carry out investigations. This study was conducted to test whether there is a positive effect of Inquiry based learning on mastery of concepts and student social skills ...
Syarifuddin Syarifuddin
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Recursive Distributed Detection for Composite Hypothesis Testing: Nonlinear Observation Models in Additive Gaussian Noise [PDF]
This paper studies recursive composite hypothesis testing in a network of sparsely connected agents. The network objective is to test a simple null hypothesis against a composite alternative concerning the state of the field, modeled as a vector of ...
Anit Kumar Sahu, S. Kar
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This paper studies the change point problem for a general parametric, univariate or multivariate family of distributions. An information theoretic procedure is developed which is based on general divergence measures for testing the hypothesis of the ...
A Estrella +28 more
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Testing the suitability of polynomial models in errors-in-variables problems [PDF]
A low-degree polynomial model for a response curve is used commonly in practice. It generally incorporates a linear or quadratic function of the covariate.
Hall, Peter, Ma, Yanyuan
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