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

Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

778
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...
778
Introduction to Learning01:18

Introduction to Learning

523
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
523
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

122
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
122
Observational Learning01:12

Observational Learning

293
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
293
Elimination Kinetics: First-Order and Zero-Order01:05

Elimination Kinetics: First-Order and Zero-Order

1.3K
Eliminating drugs from the body is a vital process that occurs through excretion or metabolism. Understanding the kinetics of drug elimination is crucial for drug development, dosage determination, and optimizing patient outcomes.
Drug clearance depends on the rate of drug elimination and its plasma concentration. Another important parameter is a drug's half-life, which is the time required for its concentration to decrease by half. In most cases, drug clearance follows first-order...
1.3K
Zero-Force Member01:30

Zero-Force Member

1.6K
A truss is a framework that comprises slender members connected at their ends by joints. Trusses are widely used in engineering and architecture to stabilize and strengthen structures like bridges, roofs, and towers. Truss members are designed to carry loads through tension and compression, enabling the truss to withstand external forces.
One critical concept in truss design is the idea of zero-force members. It refers to a truss member that experiences no stress under loading conditions.
1.6K

You might also read

Related Articles

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

Sort by
Same author

Fighting Evolving Spam With ARTMAP Models: A Noise-Resilient Online Detection Framework.

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

Contrastive adapter training and consensus knowledge distillation for multi-source-free domain adaptation in skin cancer diagnosis.

Artificial intelligence in medicine·2026
Same author

Stochastic style perturbation modelling for visible-Infrared person re-Identification with severely modality imbalance.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Koopman-Driven Linearized Model-Based Offline Planning With Application to Freeway Ramp Metering.

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

Observer based resilient security control for networked nondeterministic Markovian jump systems with cyber attacks and its applications.

Scientific reports·2025
Same author

Health-Related Quality of Life in Chronic Urticaria: A Systematic Review and Meta-Analysis.

The journal of allergy and clinical immunology. In practice·2025
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Sep 4, 2025

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K

A Review of Generalized Zero-Shot Learning Methods.

Farhad Pourpanah, Moloud Abdar, Yuxuan Luo

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |July 18, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Generalized zero-shot learning (GZSL) classifies data with unknown classes using semantic information. This review categorizes GZSL methods, discusses datasets and applications, and identifies future research directions.

    More Related Videos

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    558
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    676

    Related Experiment Videos

    Last Updated: Sep 4, 2025

    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.3K
    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    558
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    676

    Area of Science:

    • Artificial Intelligence
    • Machine Learning
    • Computer Vision

    Background:

    • Generalized zero-shot learning (GZSL) addresses the challenge of classifying data samples when some output classes are not seen during supervised training.
    • GZSL utilizes semantic information from both seen (source) and unseen (target) classes to bridge the knowledge gap.

    Purpose of the Study:

    • To provide a comprehensive review of existing Generalized Zero-Shot Learning (GZSL) methods.
    • To offer a structured categorization of GZSL approaches and discuss representative techniques.
    • To identify research gaps and suggest future research directions in GZSL.

    Main Methods:

    • The review presents an overview of GZSL, including its inherent problems and challenges.
    • A hierarchical categorization of GZSL methods is introduced.
    • Representative methods within each category are discussed and analyzed.

    Main Results:

    • The paper categorizes various GZSL methods, offering a structured overview of the field.
    • It discusses benchmark datasets and real-world applications of GZSL.
    • Key research gaps and potential future research avenues are highlighted.

    Conclusions:

    • This review provides a structured overview of the GZSL landscape, categorizing existing methods and discussing their strengths and weaknesses.
    • It highlights the importance of semantic information in bridging the gap between seen and unseen classes.
    • The paper concludes by identifying critical research gaps and outlining promising directions for future GZSL investigations.