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average classification » image classification (Expand Search), disease classification (Expand Search)
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401
Data from an Investigation of Music Analysis by the Application of Grammar-based Compressor
Published 2024“…<br> <br> Experiment result:<br>The average increase in model size over all positions.…”
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402
Feature selection results.
Published 2025“…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …”
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403
ANOVA test result.
Published 2025“…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …”
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404
Summary of literature review.
Published 2025“…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …”
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405
Passive sensing data.
Published 2025“…We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). …”
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406
Surveys.
Published 2025“…We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). …”
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407
Data types and sources.
Published 2025“…The results indicate that with a classification number of 4, the Goodness of Variance Fit (GVF) for different hierarchical features exceeds 0.7, and the average silhouette coefficient reaches 0.58 at this classification number. …”
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408
Spatial distribution level results.
Published 2025“…The results indicate that with a classification number of 4, the Goodness of Variance Fit (GVF) for different hierarchical features exceeds 0.7, and the average silhouette coefficient reaches 0.58 at this classification number. …”
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409
Number of hashtags with frequency thresholds.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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410
Key fields and meanings of Weibo.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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411
Research framework.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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412
The story tree.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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413
Storyline nodes.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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414
Graph of number of Weibo posts versus date.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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415
Relevant conceptual relationship diagrams.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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416
RoMLP-AttNet modelling framework.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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417
Change in loss ratio with rounds.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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418
Hashtag post number over time.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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419
Hashtag number varies with density thresholds.
Published 2025“…Finally, a timeline-based topic merging algorithm is proposed to construct a clear and orderly event story line. …”
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420