Showing 481 - 500 results of 936 for search '"Ensemble!"', query time: 0.04s Refine Results
  1. 481

    Phase Transition of Black Holes in Brans–Dicke Born–Infeld Gravity through Geometrical Thermodynamics by S. H. Hendi, M. S. Talezadeh, Z. Armanfard

    Published 2017-01-01
    “…We also use the recently proposed new method and compare its results with those of canonical ensemble. By considering the new method, we find that its Ricci scalar diverges in the places of phase transition and bound points. …”
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  2. 482

    L' oeuvre d'art: un document authentique en classe de FLE by Kawtar Es-Saidi

    Published 2019-11-01
    “…Il sera question ensuite de montrer qu’un tel dispositif pédagogique, à travers un ensemble d’outils de médiation, favorise le développement de compétences langagières et culturelles. …”
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  3. 483

    Thesis-Building: Architecture, Alchemy and the Constructive Moment(s) of a Doctoral Dissertation by Willem de Bruijn

    Published 2012-01-01
    “…Drawing on some of the historical sources of the thesis, in particular the emblem books of seventeenth-century alchemist Michael Maier (1568-1622), the paper argues that the above-named ‘moments’ in a PhD constitute an ensemble of impassioned investment, which can be known as the PhD-pathos. …”
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  4. 484

    Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic by Ofra Tirosh-Becker, Michal Kessler, Oren Becker, Yonatan Belinkov

    Published 2022-12-01
    “… Most linguistic studies of Judeo-Arabic, the ensemble of dialects spoken and written by Jews in Arab lands, are qualitative in nature and rely on laborious manual annotation work, and are therefore limited in scale. …”
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  5. 485

    Exploring cement Production's role in GDP using explainable AI and sustainability analysis in Nepal by Ramhari Poudyal, Biplov Paneru, Bishwash Paneru, Tilak Giri, Bibek Paneru, Tim Reynolds, Khem Narayan Poudyal, Mohan B. Dangi

    Published 2025-06-01
    “…Random Forest, on the other hand, had trouble; it displayed the greatest RMSE (15617.85) and the lowest testing (0.8117), suggesting poorer generalization. The SET (Stacking) Ensemble model gained a testing R2 score (0.9372) and a testing RMSE (9019.76). …”
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  6. 486

    Comparative Evaluation of AI-Based Multi-Spectral Imaging and PCR-Based Assays for Early Detection of <i>Botrytis cinerea</i> Infection on Pepper Plants by Dimitrios Kapetas, Eleni Kalogeropoulou, Panagiotis Christakakis, Christos Klaridopoulos, Eleftheria Maria Pechlivani

    Published 2025-01-01
    “…These descriptors were combined in ensemble and classified into three distinct classes using a K-nearest neighbor, a Long Short-Term Memory (LSTM), and a ResNet solution. …”
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  7. 487

    Une norme pour la langue d’oc ? Les débuts d’une histoire sans fin by Philippe Martel

    Published 2012-11-01
    “…Certains entendent rester dans le cadre d'un mouvement travaillant à l'échelle de l'ensemble doc, d'autres réfutent jusqu'à l'existence d'un tel ensemble, ou considèrent que leur parler n'en fait pas partie. …”
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  8. 488

    Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology by Jieru Zhang, Ying Ju, Huijuan Lu, Ping Xuan, Quan Zou

    Published 2016-01-01
    “…In this study, various protein fingerprint features and advanced classifiers, including ensemble learning techniques, were utilized to identify this group of proteins. …”
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  9. 489

    A Two-Layer Architecture for Failure Prediction Based on High-Dimension Monitoring Sequences by Xue Wang, Fan Liu, Yixin Feng, Jiabao Zhao

    Published 2021-01-01
    “…Generally speaking, in the first layer, we make use of EXPoSE anomaly detection technique to derive anomaly scores in constant time which are then used as input data for ensemble learning in the second layer. Experiments are conducted on the data provided by one of the largest security companies, and the results demonstrate the predictability of the proposed approach.…”
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  10. 490

    A Weighted Voting Classifier Based on Differential Evolution by Yong Zhang, Hongrui Zhang, Jing Cai, Binbin Yang

    Published 2014-01-01
    “…Ensemble learning is to employ multiple individual classifiers and combine their predictions, which could achieve better performance than a single classifier. …”
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  11. 491

    Contextualized embeddings for semantic change detection: Lessons learned by Andrey Kutuzov, Erik Velldal, Lilja Øvrelid

    Published 2022-08-01
    “…First, we introduce an ensemble method outperforming previously described contextualized approaches. …”
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  12. 492

    Remarques sur la frontière de martin biharmonique et la représentation intégrale des fonctions biharmoniques by Mohamed El Kadiri, Sabah Haddad

    Published 2005-01-01
    “…Dans le cas classique d'un domaine lipschitzien borné de ℝn, nous montrons que cet ensemble est vide.…”
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  13. 493

    Situated Information Flow between Food Commodity and Regional Equity Markets: An EEMD-Based Transfer Entropy Analysis by Samuel Kwaku Agyei, Peterson Owusu Junior, Ahmed Bossman, Emmanuel Yaw Arhin

    Published 2022-01-01
    “…This study examines the situated information between the food commodities (cereals, dairy, food, meat, vegetable oil, and sugar) of the FAO and regional stock markets’ returns. From the ensemble empirical mode decomposition (EEMD)-based Rényian transfer entropy analysis employed, we find significant bidirectional information flow between the food commodities and regional equity markets. …”
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  14. 494

    PARALLEL ALGORITHMS OF RANDOM FORESTS FOR CLASSIFYING VERY LARGE DATASETS by Do Thanh Nghi, Pham Nguyen Khang, Nguyen Van Hoa, Ly Hoang Trong

    Published 2013-06-01
    “…The random forests algorithm proposed by Breiman is an ensemble-based approach with very high accuracy. The learning and classification tasks of a set of decision trees take a lot of time, make it intractable when dealing with very large datasets. …”
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  15. 495

    Characterization and Enhancement of Flight Planning Predictability under Wind Uncertainty by Javier García-Heras, Manuel Soler, Daniel González-Arribas

    Published 2019-01-01
    “…Wind uncertainty is retrieved out of Ensemble Probabilistic Forecasts. Different wind approximation functions are compared, typifying errors, and illustrating its importance for accurate solving of the robust optimal control problem. …”
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  16. 496

    A Novel Faults Diagnosis Method for Rolling Element Bearings Based on ELCD and Extreme Learning Machine by Mingliang Liang, Dongmin Su, Daidi Hu, Mingtao Ge

    Published 2018-01-01
    “…A rolling bearing fault diagnosis method based on ensemble local characteristic-scale decomposition (ELCD) and extreme learning machine (ELM) is proposed. …”
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  17. 497

    Pulsions et significations de la douceur. A partir de « Puissance de la douceur », d’Anne Dufourmantelle by Nicolas Couégnas

    Published 2025-02-01
    “…Se dessine ainsi l’un des chemins possibles entre sémiotique et pragmatique à partir de la tensivité et de sa capacité à nouer ensemble le sensible et l’intelligible.…”
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  18. 498

    Lieux et milieux dans le Théâtre de Béziers (XVIIe siècle) by Jean-François Courouau

    Published 2014-12-01
    “…The Theatre of Béziers brings together an ensemble of 24 published plays, performed in Béziers for the festival of Ascension between 1616 and 1647. …”
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  19. 499

    Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition by Sajid Ali Khan, Ayyaz Hussain, Abdul Basit, Sheeraz Akram

    Published 2014-01-01
    “…In the classification step, different classifiers are ensemble to enhance the recognition accuracy rate as single classifier is unable to achieve the high accuracy. …”
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  20. 500

    LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting by Saleh Albahli

    Published 2025-01-01
    “…This study presents a novel hybrid forecasting model that integrates Long Short-Term Memory (LSTM) networks and Prophet models, leveraging their complementary strengths through a dynamic weighted ensemble methodology. The LSTM component captures nonlinear dependencies and long-term temporal patterns, while Prophet models seasonal trends and event-driven fluctuations. …”
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