Results 51 to 60 of about 1,303 (127)
Ellsberg paradox in decision theory posits that people will inevitably choose a known probability of winning over an unknown probability of winning even if the known probability is low [1].
Song-Ju Kim, Taiki Takahashi
doaj +1 more source
In Situ Characterisation of Hydrogels via Dynamic Interface Printing
ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler +2 more
wiley +1 more source
This paper proposes a channel selection scheme for the multiuser, multichannel cognitive radio networks. This scheme formulates the channel selection as the multiarmed bandit problem, where cognitive radio users are compared to the players and channels ...
Fanzi Zeng, Xinwang Shen
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Dynamic Pricing Algorithm for Edge Computing Task Offloading Based on Contextual Multi-Armed Bandit [PDF]
Existing dynamic pricing algorithms for edge computing are based on game-theoretic models and auction mechanisms. With the optimization objective of maximizing a service provider′s total revenue, existing pricing algorithms face difficulties in obtaining
GAN Nan, FU Xiaodong, FENG Yan
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Beyond the Rebel ‘Territorial Trap’: Governing Armed Sovereign Formations in Eastern Myanmar
ABSTRACT Territorial control is a central concept in the study of civil wars and rebel governance. However, scholars often fall into a ‘territorial trap’, assuming that territorial control is either an outcome of or a precondition for armed governance. Based on immersive fieldwork in eastern Myanmar, this article traces how different spatial orderings ...
Tony Neil, Saw Day Chit Htoo
wiley +1 more source
Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu +5 more
wiley +1 more source
Contextual bandits to increase user prediction accuracy in movie recommendation system [PDF]
Cold-start problems are inevitable phenomena where recommendation systems fail to accurately predict users’ favour and cause the loss of new users. The typical Multi-Armed Bandit (MAB) models are widely adopted as recommendation systems to solve cold ...
Chen Yizhe
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Multi armed bandit based resource allocation in Near Memory Processing architectures
Recent advances in 3D fabrication have allowed handling the memory bottlenecks for modern data-intensive applications by bringing the computation closer to the memory, enabling Near Memory Processing (NMP).
Shubhang Pandey, T.G. Venkatesh
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The urgent demand to reduce carbon emissions due to global warming has driven innovative approaches in cloud computing. This paper introduces the Hyper-Heuristic for Cloud Scheduling Problems (HHCSP), a hyper-heuristic designed to optimize tasks in cloud
Vinicius Renan De Carvalho +1 more
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Multi-Armed Bandit Based Traffic Signal Control for Congestion Management [PDF]
Against the background of rapid urbanization and continuous growth of vehicle numbers, traffic congestion has become increasingly prominent, causing serious negative impacts on urban life and economic development.
Bai Ke
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