Jove
Visualize
Contact Us

Related Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

508
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
508
Multiple Allele Traits01:49

Multiple Allele Traits

39.1K
The Concept of Multiple Allelism
39.1K
Multiple Allele Traits01:49

Multiple Allele Traits

15.2K
15.2K
Combinatorial Gene Control02:33

Combinatorial Gene Control

10.4K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
10.4K
Genetic Screens02:46

Genetic Screens

5.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.9K
Classification of Systems-II01:31

Classification of Systems-II

580
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
580

You might also read

Related Articles

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

Sort by
Same author

Efficient High-Dimensional Learning With Adaptive Gaussian RBF Networks.

IEEE transactions on neural networks and learning systems·2025
Same author

Leader-Following Consensus of Time-Scale-Type Heterogeneous Nonlinear MASs via Periodic Event-Triggered Control.

IEEE transactions on cybernetics·2025
Same author

Event-Triggered Finite-Time Stabilization of Delayed T-S Fuzzy Systems on Time Scales.

IEEE transactions on cybernetics·2025
Same author

Boosting Drug-Disease Association Prediction for Drug Repositioning via Dual-Feature Extraction and Cross-Dual-Domain Decoding.

Journal of chemical information and modeling·2025
Same author

Unsupervised Feature Selection for High-Order Embedding Learning and Sparse Learning.

IEEE transactions on cybernetics·2025
Same author

Bi-Level Spectral Feature Selection.

IEEE transactions on neural networks and learning systems·2024
Same journal

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026
Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026
Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026
Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026
Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026
Same journal

Digital Redesign-Based Interval State Estimation for Continuous Systems With Aperiodic Discrete Measurements.

IEEE transactions on cybernetics·2026
See all related articles
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 Experiment Video

Updated: Apr 16, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K

A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification.

Kaustuv Nag, Nikhil R Pal

    IEEE Transactions on Cybernetics
    |March 14, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel algorithm for simultaneous feature selection and classifier design using genetic programming. The method effectively reduces errors and model complexity, outperforming existing approaches in extensive testing.

    More Related Videos

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.5K

    Related Experiment Videos

    Last Updated: Apr 16, 2026

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    8.1K
    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.5K

    Area of Science:

    • Machine Learning
    • Computational Biology
    • Bioinformatics

    Background:

    • Developing effective classification models requires balancing predictive accuracy with model simplicity.
    • Feature selection is crucial for managing high-dimensional data, common in fields like genomics and text analysis.
    • Existing methods often struggle to simultaneously optimize feature relevance and classifier complexity.

    Purpose of the Study:

    • To present an integrated algorithm for simultaneous feature selection and classifier design.
    • To minimize false positives, false negatives, and classifier complexity (leaf nodes).
    • To enhance classification performance on diverse, high-dimensional datasets.

    Main Methods:

    • Utilized steady-state multiobjective genetic programming (GP) to evolve ensembles of classifiers.
    • Decomposed c-class problems into c binary classification tasks.
    • Incorporated a dynamic feature exploitation strategy during mutation to select relevant, low-redundancy features.

    Main Results:

    • The proposed algorithm demonstrated effectiveness in feature selection and rule size reduction.
    • Achieved superior performance across 380 out of 474 combinations of datasets, algorithms, and feature selection methods.
    • Outperformed a bi-objective GP scheme lacking feature selection and rule size reduction.

    Conclusions:

    • The integrated approach for simultaneous feature selection and classifier design is highly effective.
    • The method offers a robust solution for high-dimensional classification tasks in bioinformatics and text analysis.
    • The dynamic feature exploitation strategy contributes significantly to improved classification performance.