A Quantum Annealing Approach for Solving Optimal Feature Selection and Next Release Problems. [PDF]
Entropy (Basel)Zhang Y, Wang S, Yang W.
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Quantum feature selection from interpretable models using qubo formulation [PDF]
In this work, we tackle the feature selection problem for content-based recommender systems using Quadratic Unconstrained Binary Optimization (QUBO).
Savelli Claudio +3 more
core
The LISA global fit must decide, jointly, how many galactic binaries a frequency segment containsand what their parameters are. We isolate the discrete half of that problem — which subset of acandidate template dictionary best explains the segment — and map it exactly onto a quadraticunconstrained binary optimisation (QUBO) problem, in ...
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Real-Time Dynamic Adaptive Test Assembly for Personalized Measurement of Cognitive Abilities Under Continuous Item Bank Growth. [PDF]
J IntellXiong J, Tang C, Liu Q, Li F.
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Hybrid artificial intelligence and quantum annealing as an optimization layer in drug discovery. [PDF]
Patterns (N Y)Ou CH, Liao JC, Huang CY, Lee OK.
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Joint optimization of electric vehicle routes and charging locations through learning charge constraints using QUBO solvers. [PDF]
Sci RepOkada A, Otaki K, Yoshida H.
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Towards higher order oscillatory Ising machines. [PDF]
Sci RepProva NS +5 more
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Quantum bioinformatics: a systematic review of methods, trends, and challenges. [PDF]
Brief BioinformKhalaj M, Rayan S, Jin L.
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Immuno-metabolic biomarkers for 90-day prognostication after acute ischemic stroke: a classically solved QUBO-COPE modeling and biological contextualization study. [PDF]
J Transl MedTan H +7 more
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QUBO for training regression models
Journal of Computational and Applied MathematicsM. Caruso +3 more
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