Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Social Foundations of Self II: The Generalized Other01:20

Social Foundations of Self II: The Generalized Other

270
According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
270
Ranks01:02

Ranks

509
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
509
Generalized Anxiety Disorder01:30

Generalized Anxiety Disorder

742
Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
742
Generalized Hooke's Law01:22

Generalized Hooke's Law

2.8K
The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
2.8K
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.5K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
1.5K
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

1.4K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Embryonic arrest at midgestation and disruption of Notch signaling produced by the absence of both epsin 1 and epsin 2 in mice.

Proceedings of the National Academy of Sciences of the United States of America·2009
Same author

Two novel SNPs in coding region of the caprine Fat-inducing transcript gene and their association with growth traits.

Molecular biology reports·2009
Same author

Reprogramming human fibroblasts using HIV-1 TAT recombinant proteins OCT4, SOX2, KLF4 and c-MYC.

Molecular biology reports·2009
Same author

Bioinformatics and microarray analysis of microRNA expression profiles of murine embryonic stem cells, neural stem cells induced from ESCs and isolated from E8.5 mouse neural tube.

Neurological research·2009
Same author

Attenuation of lipopolysaccharide-mediated left ventricular dysfunction by glutamine preconditioning.

The Journal of surgical research·2009
Same author

Differential regulation of Apak by various DNA damage signals.

Molecular and cellular biochemistry·2009
Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

IEEE transactions on neural networks and learning systems·2026
Same journal

Self-Supervised Continuous Dynamic Graph Representation Learning via Hawkes Processes.

IEEE transactions on neural networks and learning systems·2026
Same journal

cPU: Consistent Risk Estimator for Positive-Unlabeled Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing.

IEEE transactions on neural networks and learning systems·2026
Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026
See all related articles

Related Experiment Video

Updated: Feb 11, 2026

Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support
05:22

Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Published on: January 25, 2022

4.3K

Generalization Performance of Regularized Ranking With Multiscale Kernels.

Yicong Zhou, Hong Chen, Rushi Lan

    IEEE Transactions on Neural Networks and Learning Systems
    |June 10, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel multiscale kernel learning algorithm for ranking problems. The new method enhances generalization performance, offering improved learning rates for tasks like drug discovery and recommendations.

    More Related Videos

    Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces
    06:14

    Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces

    Published on: September 11, 2018

    7.0K
    Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
    10:01

    Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays

    Published on: April 23, 2012

    18.7K

    Related Experiment Videos

    Last Updated: Feb 11, 2026

    Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support
    05:22

    Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

    Published on: January 25, 2022

    4.3K
    Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces
    06:14

    Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces

    Published on: September 11, 2018

    7.0K
    Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
    10:01

    Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays

    Published on: April 23, 2012

    18.7K

    Area of Science:

    • Machine Learning
    • Computational Biology
    • Data Science

    Background:

    • Regularized kernel methods are widely used for machine learning ranking tasks.
    • Existing algorithms typically employ single kernels within reproducing kernel Hilbert spaces.
    • There is a need to explore more sophisticated kernel approaches for improved performance.

    Purpose of the Study:

    • To investigate the generalization performance of regularized ranking using multiscale kernels.
    • To propose a novel ranking algorithm incorporating multiscale kernels.
    • To analyze the theoretical properties and practical effectiveness of the new algorithm.

    Main Methods:

    • Developed a novel regularized ranking algorithm utilizing multiscale kernels.
    • Proved the representer theorem for the proposed multiscale kernel ranking algorithm.
    • Established upper bounds on generalization error based on hypothesis space complexity.

    Main Results:

    • The multiscale kernel ranking algorithm demonstrates satisfactory learning rates under mild conditions.
    • Theoretical analysis provides insights into the algorithm's generalization capabilities.
    • Experimental validation confirms the method's effectiveness.

    Conclusions:

    • The proposed multiscale kernel approach advances regularized ranking methods.
    • This algorithm offers a promising solution for complex tasks such as drug discovery and recommendation systems.
    • The findings suggest broader applicability of multiscale kernels in machine learning.