Search Results - (interactions OR integration) majorization (algorithm OR algorithms)

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  1. Distributional Reinforcement Learning by Bellemare, Marc G., Dabney, Will, Rowland, Mark

    Published 2023
    “…They demonstrate its power to account for many complex, interesting phenomena that arise from interactions with one's environment.The authors present core ideas from classical reinforcement learning to contextualize distributional topics and include mathematical proofs pertaining to major results discussed in the text. …”
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  2. Approach and Policy in Higher Education for Sustainability

    Published 2024
    Subjects: “…machine learning algorithm…”
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  3. Foundations of Robotics

    Published 2024
    “…The book also introduces the reader to the Robot Operating System (ROS), the ubiquitous software and algorithmic framework used by researchers and the industry. …”
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  4. Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis

    Published 2025
    “…One of its major focuses is on the integration of multi-omics data such as WGS, WES, scRNAseq, spatial transcriptomics, and proteomics, along with radiomics and digital pathology, to better understand cancer initiation, evolution, drug-tolerant persister cancer states, and full therapy resistance. …”
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  5. Unmanned Ground and Aerial Vehicles (UGVs-UAVs) for Digital Farming

    Published 2025
    “…New projections of escalating population growth come as the world faces major global challenges such as climate change, environmental degradation, and food insecurity. …”
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  6. Protection Concept Optimization Regarding Dynamic Security and Dependability in Multivariate Power Systems by Meyer, Georg Janick

    Published 2025
    “…The entire energy system landscape is facing major challenges and is confronted with increasing changes, variable infeed and integration of new technologies. …”
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  7. Simulating Triangulations: Graphs, Manifolds and (Quantum) Spacetime by Krüger, Benedikt

    Published 2025
    “…Within this thesis some of these fundamental questions about triangulations are answered by the use of Markov chain Monte Carlo simulations, which are a probabilistic method for calculating statistical expectation values, or more generally a tool for calculating high-dimensional integrals. Additionally, some details about the Wang-Landau algorithm, which is the primary used numerical method in this thesis, will be examined in detail.…”
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  8. Interaction of BCI with the underlying neurological conditions in patients: pros and cons by Aleksandra Vuckovic, Christoph Guger, Jaime Pined, Disha Gupta, Kristen Lamarca

    Published 2021
    “…We expect to generate a body of knowledge valuable both to researchers working with clinical populations, but also to a vast majority of BCI researchers testing new algorithms on able-bodied people. …”
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