Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Uncertainty: Overview00:59

Uncertainty: Overview

976
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
976
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.1K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.1K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

882
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
882
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

149
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...
149
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

252
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
252
Associative Learning01:27

Associative Learning

569
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
569

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

A Spatially Directed Microneedle Patch Enables Intratumoral Co-Delivery of FOLFIRINOX, Surufatinib, and Anti-PD-1 for Chemo-Immunotherapy of Pancreatic Ductal Adenocarcinoma.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Neoadjuvant therapy followed by tracheal/carinal resection and reconstruction: perioperative and long-term outcomes.

Translational lung cancer research·2026
Same author

Latent profiles of actual and perceived motor competence are associated with physical activity and BMI in childhood: a latent profile analysis.

Scientific reports·2026
Same author

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same author

CIRBP exerts neuroprotective effects in ischemic injury by inhibiting IFN-I signaling.

Life sciences·2026
Same author

Tumor cell extracellular vesicles derived lncRNA XIST regulates the blood-brain barrier and NSCLC brain metastasis via miR-19b-3p/EPN2.

Brain research·2026

関連する実験動画

Updated: Jun 14, 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

不確実性による信頼性の高いダイナミック・フュージョンによる部分的なマルチビュー・不完全なマルチラベル・ラーニング

Jie Wen, Jiang Long, Xiaohuan Lu

    IEEE transactions on pattern analysis and machine intelligence
    |August 28, 2025
    PubMed
    まとめ

    この研究は,部分的なマルチビュー不完全なマルチラベル学習のための不確実性駆動の枠組みを導入します. 複雑なデータセットでのモデルのパフォーマンスを改善するために,機能融合を強化し,シドラベルを使用します.

    さらに関連する動画

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
    07:34

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

    Published on: November 7, 2025

    関連する実験動画

    Last Updated: Jun 14, 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

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
    07:34

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

    Published on: November 7, 2025

    科学分野:

    • 機械学習
    • コンピュータ・ビジョン
    • データサイエンス

    背景:

    • 部分的なマルチビュー・不完全なマルチラベル・ラーニングは,成長する研究分野です.
    • 既存の方法では,特徴の融合に平均の加重が用いられることが多く,見込みの不一致が原因で信頼性の低い結果が得られる.
    • 不完全なマルチラベルデータを処理すると,通常,未知のタグからの情報が無視されます.

    研究 の 目的:

    • 部分的なマルチビュー不完全なマルチラベル学習のための新しい不確実性駆動の信頼性の高いダイナミック・フュージョン・フレームワークを提案する.
    • 既存の機能融合戦略と不完全なラベル処理の限界に対処する.
    • 複雑な学習シナリオにおけるモデルの正確性と信頼性を向上させる.

    主な方法:

    • 不確実性に基づいた信頼性の高いサンプルレベルの動的融合モジュールを開発し,サンプル不確実性に基づいて特徴の信頼性を推定しました.
    • 無印良品の不確実なラベルからの情報を活用するための革新的なシドラベル戦略を組み込んだ.
    • エンコーダーの表現学習能力を高めるための機能マスク戦略を実装した.

    主要な成果:

    • 提案された枠組みは,信頼できる重量を生成することによって,情報融合を効果的に導きます.
    • 偽標識戦略は,モデルトレーニングを改善し,追加の監督情報を提供します.
    • 機能マスク戦略は 表現学習を高めます

    結論:

    • 不確実性に基づくダイナミック・フュージョン・フレームワークは,部分的なマルチビュー・インコンプリート・マルチラベル・ラーニングにおいて,既存の最先端の方法を大幅に上回ります.
    • この方法は5つの異なるデータセットで 堅実なパフォーマンスを示しています
    • この研究は,不確実性の推定と未知のラベル情報を活用して学習成果の改善の重要性を強調しています.