Results 61 to 70 of about 1,303 (127)

Combining Cmab with Matrix Factorization and Clustering For Enhanced Movie Recommendations [PDF]

open access: yesITM Web of Conferences
The contextual multi-armed bandit (CMAB) algorithm faces problems of a large-scale, sparse data matrix and many arms. This paper proposes a method that combines matrix factorization with a clustering algorithm to enhance the performance of the CMAB ...
Xiong Shuyue
doaj   +1 more source

Learning the distribution with largest mean: two bandit frameworks*

open access: yesESAIM: Proceedings and Surveys, 2017
Over the past few years, the multi-armed bandit model has become increasingly popular in the machine learning community, partly because of applications including online content optimization. This paper reviews two different sequential learning tasks that
Kaufmann Emilie, Garivier Aurélien
doaj   +1 more source

Several Remarks on the Role of Certain Positional and Social Games in the Creation of the Selected Statistical and Economic Applications

open access: yesFoundations of Management, 2016
The game theory was created on the basis of social as well as gambling games, such as chess, poker, baccarat, hex, or one-armed bandit. The aforementioned games lay solid foundations for analogous mathematical models (e.g., hex), artificial intelligence ...
Drabik Ewa
doaj   +1 more source

Optimizing Station-Based Shared E-Bike Allocation Using Multi-Armed Bandit Algorithms [PDF]

open access: yesITM Web of Conferences
In the era of rapid urban transformation, the sharing economy has revolutionized transportation solutions, with shared bicycles emerging as a prominent example.
Zhao Wenkui
doaj   +1 more source

Bandit Algorithms for Advertising Optimization: A Comparative Study [PDF]

open access: yesITM Web of Conferences
In recent years, the rapid development of digital advertising has challenged advertisers to make optimal choices among multiple options quickly. This is crucial for increasing user engagement and return on investment.
Tian Ziyue
doaj   +1 more source

Predicting Ecological Momentary Assessments in an App for Tinnitus by Learning From Each User's Stream With a Contextual Multi-Armed Bandit. [PDF]

open access: yesFront Neurosci, 2022
Shahania S   +7 more
europepmc   +1 more source

LEO satellite constellations: a two-stage beamforming scheme based on CMAB

open access: yes物联网学报
For the beamforming design problem of frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) low earth orbit (LEO) satellite constellations, a two-stage beamforming (TSB) scheme based on combinatorial multi-armed bandit (CMAB) was
SONG Xinting   +4 more
doaj   +2 more sources

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