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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

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    Optimal subsampling for high-dimensional partially linear models via machine learning methods

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    Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models

    Published in ArXiv cs.DL Recent Papers (2026)
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    A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

    Published in ArXiv cs.CR Recent Papers (2026)
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    A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

    Published in ArXiv cs.LG Recent Papers (2026)
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    Cross-individual generalizability of machine learning models for ball speed prediction in baseball pitching

    Published in ArXiv cs.HC Recent Papers (2026)
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    DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation

    Published in ArXiv cs.IR Recent Papers (2026)
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    Comparison of equivalent circuit and machine learning methods for CubeSat battery discharge modeling

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    A Wavelet Enhanced Deep Learning Model for Mineral Image Classification: WFeedNet

    Published in IEEE Access (2026)
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    SDXL model-based optimization for interior design: Data-driven and deep learning methods

    Published in PLOS ONE (2026)
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    Deep Reinforcement Learning for Chaos Control of a Nonlinear Jumping Quarter-Car Model

    Published in IEEE Access (2026)
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    An Enhanced Multi-Target Detection Model for Autonomous Driving Based on Deep Learning Optimization

    Published in IEEE Access (2026)
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    Lessons learned from manual curation of thousands of gene models in the nematode Pristionchus pacificus

    Published in PLOS ONE (2026)
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    Study of Socialisation in an Online Teacher Training Course Designed with the Five-Stage Model

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    Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes

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    Modelling Populations of Interaction Networks via Distance Metrics

    Published in JMLR (2026)
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    Bayesian Data Sketching for Varying Coefficient Regression Models

    Published in JMLR (2026)
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    Modelling Populations of Interaction Networks via Distance Metrics

    Published in JMLR (2026)
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    Bayesian Data Sketching for Varying Coefficient Regression Models

    Published in JMLR (2026)
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    Modelling Populations of Interaction Networks via Distance Metrics

    Published in JMLR (2026)
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