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10 merged results for "Learning Algorithms"

Partial results: at least one source did not answer. Available results are shown rather than treating an upstream outage as zero matches.

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  1. Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach

    Ricardo Prudêncio, Marcilio de Souto, Teresa Ludermir · 2011

    limited evidence Transparent signal score 49/100 · policy 1.0.0

    Found in hal · DOI 10.1007/978-3-642-20980-2_7

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  2. Quantum Machine Learning: Exploring Quantum Algorithms for Enhancing Deep Learning Models

    Hari Gonaygunta, Mohan Harish Maturi, Geeta Sandeep Nadella, Karthik Meduri · 2024 · International Journal of Advanced Engineering Research and Science

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.22161/ijaers.115.5

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  3. Online and Approximation Algorithms : Beyond Worst-Case Paradigms

    Michalis Xefteris · 2024

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.70675/da408374z2c23z4ab1zbabdz0a51d084ef7f

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  4. Object Detection Algorithms Based on Deep Learning: A Review

    Jintao Meng, Shaokai Shen, Jiaqi Wang, Chunjian Zhou · 2024 · Asian Journal of Research in Computer Science

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in hal · DOI 10.9734/ajrcos/2024/v17i7485

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  5. Machine Learning Algorithms for Heart Disease Prediction: A Comparative Analysis

    Isreal Ufumaka · 2021

    limited evidence Transparent signal score 49/100 · policy 1.0.0

    Found in hal · DOI 10.9734/bpi/nvst/v7/5077f

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  6. Integration of Non-Destructive Testing Techniques and Machine Learning Algorithms for Enhanced Structural Health Monitoring of Bridges

    Bilal Hussain · 2024 · Current Journal of Applied Science and Technology

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in hal · DOI 10.9734/cjast/2024/v43i94427

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  7. Advancing Intelligence: Unveiling the Power of Advanced Machine Learning Algorithms for Real-World Applications

    Farhan Aslam · 2023 · Journal of Engineering Research and Reports

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  8. Developments and Evaluation of Twin Learning Algorithms: A Systematic Review

    Vidhya Mohan · 2023

    uncertain Transparent signal score 54/100 · policy 1.0.0

    Found in hal · no DOI

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  9. HTM-MAT: An online prediction software toolbox based on cortical machine learning algorithm

    V.I.E Anireh, E.N Osegi · 2017

    uncertain Transparent signal score 50/100 · policy 1.0.0

    Found in hal · no DOI

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  10. Leveraging Deep Learning Algorithms for Predicting Power Outages and Detecting Faults: A Review

    Mohammed Rizvi · 2023 · Advances in Research

    limited evidence Transparent signal score 48/100 · policy 1.0.0

    Found in hal · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer