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関連する概念動画

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

289
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
289
Altered States of Awareness01:06

Altered States of Awareness

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Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
1.0K
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

676
The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
676
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

631
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
631
Ogive Graph01:07

Ogive Graph

6.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Graphing Antiderivatives01:30

Graphing Antiderivatives

48
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
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関連する実験動画

Updated: Jan 23, 2026

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CAKGE: 動的知識グラフ埋め込みのためのコンテキスト認識適応学習

Zongsheng Cao, Qianqian Xu, Zhiyong Yang

    IEEE transactions on pattern analysis and machine intelligence
    |January 21, 2026
    PubMed
    まとめ
    この要約は機械生成です。

    CAKGE（コンテキスト認識適応学習モデル知識グラフ埋め込み）を導入し、再トレーニングなしで知識グラフを効率的に更新します。CAKGEは、動的KGEモデリングにおける破滅的な忘却を軽減しながら、新しい情報と既存の情報を統合します。

    キーワード:
    知識グラフ埋め込み動的知識グラフ破滅的忘却継続的学習適応学習

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    科学分野:

    • 人工知能
    • データサイエンス
    • 機械学習

    背景:

    • 知識グラフ埋め込み（KGE）はデータ表現に不可欠ですが、進化する現実世界の事実には苦労しています。
    • 既存のKGEモデルは、破滅的な忘却のような課題に直面するか、新しい情報のために広範な再トレーニングを必要とします。

    研究 の 目的:

    • 新しい情報を効率的に統合する動的知識グラフ埋め込みのための新しいモデル、CAKGEを開発すること。
    • トランスダクティブ、帰納的、継続的学習設定における既存のKGEモデルの限界に対処すること。

    主な方法:

    • CAKGEは、コンテキスト認識フュージョンモジュールを使用して意味的に関連するエンティティと関係パスを特定します。
    • 知識リプレイを備えた適応メッセージ集約モジュールは、再トレーニングなしで新しい知識と既存の知識を統合します。
    • フューズドグロモフ・ワッサーシュタイン距離を使用してグラフマッチングを行い、古い知識と新しい知識を意味的およびトポロジ的に整合させ、破滅的な忘却を軽減します。

    主要な成果:

    • CAKGEは、動的KGEモデリングにおいて最先端のパフォーマンスを示します。
    • モデルは、既存の情報を保持しながら新しい知識を効果的に統合します。
    • CAKGEの表現力と推論能力に対する理論的保証が提供されます。

    結論:

    • CAKGEは、KGEにおけるトランスダクティブ、帰納的、継続的学習設定のための統一されたフレームワークを提供します。
    • 提案されたモデルは、進化する知識グラフを効率的に処理し、破滅的な忘却を克服し、再トレーニングコストを削減します。