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   Articles with "driven exploration" as a keyword



Data-driven exploration of Na–Bi compounds: a first-principles and machine learning approach to topological thermoelectrics

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recommendations! Published in 2025 at "RSC Advances"

DOI: 10.1039/d5ra05888k

Abstract: We conduct an in-depth investigation of the structural, electronic, vibrational, thermodynamic, and thermoelectric characteristics of Na–Bi-based compounds, specifically tetragonal NaBi, hexagonal NaBi3, and cubic Na3Bi, using advanced first-principles calculations in conjunction with machine learning (ML)… read more here.

Keywords: machine; machine learning; data driven; exploration compounds ... See more keywords

Accelerating Reinforcement Learning-Based CCSL Specification Synthesis Using Curiosity-Driven Exploration

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recommendations! Published in 2023 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2022.3197956

Abstract: The Clock Constraint Specification Language (CCSL) has been widely acknowledged as a promising system-level specification for the modeling and analysis of timing behaviors of real-time and embedded systems. However, along with the increasing complexity of… read more here.

Keywords: driven exploration; curiosity driven; synthesis; ccsl ... See more keywords

Efficient Online Interest-Driven Exploration for Developmental Robots

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recommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2020.3001633

Abstract: A major challenge for online and data-driven model learning in robotics is the high sample complexity. This hinders its efficiency and practical feasibility for lifelong learning, in particular, for developmental robots that autonomously bootstrap their… read more here.

Keywords: online interest; efficient online; exploration; interest driven ... See more keywords

A data-driven exploration of the race between human labor and machines in the 21st century

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recommendations! Published in 2022 at "Communications of the ACM"

DOI: 10.1145/3488376

Abstract: To understand automation and the future of work, this study explores how human labor competes, or cooperates, with technology in performing a range of tasks. read more here.

Keywords: labor; race human; data driven; exploration race ... See more keywords

A Performance-Driven Exploration of Combining Topic Modeling and Machine Learning for Online Learning Data Analysis

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recommendations! Published in 2025 at "TEM Journal"

DOI: 10.18421/tem141-46

Abstract: The research aims to determine how well three clustering algorithms K-Means, hierarchical, and ensemble clustering work when combined with sophisticated topic modeling methods such as latent Dirichlet allocation (LDA), or nonnegative matrix factorization (NMF), and… read more here.

Keywords: online learning; performance driven; analysis; topic modeling ... See more keywords