Results 81 to 90 of about 226,052 (275)
Black-box Optimizers vs Taste Shocks
, 2023 We evaluate and extend the solution methods for models with binary and multiple continuous choice variables in dynamic programming, particularly in cases where a discrete state space solution method is not viable. Therefore, we approximate the solution using taste shocks or black-box optimizers that applied mathematicians use to benchmark their ...
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Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Optimal Parameter Choices via Precise Black-Box Analysis [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 2016 It has been observed that some working principles of evolutionary algorithms, in particular, the influence of the parameters, cannot be understood from results on the asymptotic order of the runtime, but only from more precise results. In this work, we complement the emerging topic of precise runtime analysis with a first precise complexity theoretic ...
Doerr, Benjamin +2 more
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Molecular Oncology, EarlyView.Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Enhancing the Transferability of Adversarial Patch via Alternating Minimization
International Journal of Computational Intelligence SystemsAdversarial patches, a type of adversarial example, pose serious security threats to deep neural networks (DNNs) by inducing erroneous outputs. Existing gradient stabilization methods aim to stabilize the optimization direction of adversarial examples ...
Yang Wang +3 more
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Alexandria Engineering JournalDeep neural networks (DNNs) excel at image classification tasks, but their vulnerability to adversarial examples raise serious security concerns. Although existing adversarial attack methods demonstrate certain threat levels in black-box scenarios, they ...
Xiaoyin Yi +3 more
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Improved Differential Evolution for Large-Scale Black-Box Optimization
IEEE Access, 2018 The demand for solving large-scale complex problems continues to grow. Many real-world problems are described by a large number of variables that interact with each other in a complex way.
Mirjam Sepesy Maucec +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Bayesian Optimization for Instruction Generation
Applied SciencesThe performance of Large Language Models (LLMs) strongly depends on the selection of the best instructions for different downstream tasks, especially in the case of black-box LLMs.
Antonio Sabbatella +4 more
doaj +1 more source
Graduated Optimization of Black-Box Functions
, 2019 Accepted Workshop Submission for the 6th ICML Workshop on Automated Machine ...
Shao, Weijia +2 more
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