Rezultaty - (( interactive majorization algorithm ) OR ( interactive variation algorithm ))

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

“…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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Computational and Mathematical Methods in Information Science and Engineering

Hasła przedmiotowe: “…local interaction…”
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10th Anniversary of Plants—Recent Advances and Perspectives

Hasła przedmiotowe: “…seasonal variation…”
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10th Anniversary of Plants—Recent Advances and Perspectives

Hasła przedmiotowe: “…seasonal variation…”
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10th Anniversary of Plants—Recent Advances and Perspectives

Hasła przedmiotowe: “…seasonal variation…”
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Geographical Analysis and Modeling of Urban Heat Island Formation

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Advances in Quantum Computing

Hasła przedmiotowe: “…quantum variational algorithm…”
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Advances in Explainable Artificial Intelligence

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Mathematical Modeling of Engineering and Socio-Economic Processes and Systems

Hasła przedmiotowe: “…surface asperities interaction…”
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Numerical Simulation and Computational Methods in Engineering and Sciences

Hasła przedmiotowe: “…adaptive algorithm…”
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Advances in Hydrodynamics of Water Pump Station System

Hasła przedmiotowe: “…fluid-structure interaction…”
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Foundations of Robotics

“…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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Beyond Classical Pedagogy

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CFD Applications in Energy Engineering Research and Simulation

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CFD Applications in Energy Engineering Research and Simulation

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Computational Intelligence and Human–Computer Interaction

Hasła przedmiotowe: “…interactive reasoning…”
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Deep Learning for Perception and Recognition

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Land Use/Land Cover and Natural Hazards

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Application of Bioinformatics in Cancers od Brenner, J. Chad

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Interaction of BCI with the underlying neurological conditions in patients: pros and cons od Aleksandra Vuckovic, Christoph Guger, Jaime Pined, Disha Gupta, Kristen Lamarca

“…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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