Results 31 to 40 of about 557,403 (166)
Сучасні інформаційні системи, 2021 Currently, a large number of different mathematical models and methods aimed at solving problems of multidimensional optimization and modeling of complex behavioral systems have been developed.
Valerii Chystov +3 more
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An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Hate speech classification is a critical task in the domain of natural language processing, aiming to mitigate the negative impacts of harmful content on digital platforms.
Muhamad Ridwan, Ema Utami
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Journal of Taibah University for Science, 2019 We present the existence of a finite search plan to find Brownian target on the d-space by using d-searchers. Each searcher moves continuously in both directions of the origin (starting point) of the line (field of its search) with random distances and ...
Mohamed Abd Allah El-Hadidy +1 more
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Research on stock trend prediction method based on optimized random forest
CAAI Transactions on Intelligence Technology, 2023 As a complex hot problem in the financial field, stock trend forecasting uses a large amount of data and many related indicators; hence it is difficult to obtain sustainable and effective results only by relying on empirical analysis.
Lili Yin +3 more
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Learning to Guide Random Search
CoRR, 2020 We are interested in derivative-free optimization of high-dimensional functions. The sample complexity of existing methods is high and depends on problem dimensionality, unlike the dimensionality-independent rates of first-order methods. The recent success of deep learning suggests that many datasets lie on low-dimensional manifolds that can be ...
Ozan Sener, Vladlen Koltun
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Search for the smallest random forest [PDF]
Statistics and Its Interface, 2009 Random forests have emerged as one of the most commonly used nonparametric statistical methods in many scientific areas, particularly in analysis of high throughput genomic data. A general practice in using random forests is to generate a sufficiently large number of trees, although it is subjective as to how large is sufficient.
Heping, Zhang, Minghui, Wang
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Optimization Algorithm for Cutting Masonry with a Robotic Saw
Applied SciencesThe contribution of this study is in the novel application of the bin packing algorithm that is used to optimize the robotic bricklaying process with the aim of minimizing the wearing of a robotic saw used for splitting brick blocks so as to minimize ...
Vjačeslav Usmanov +3 more
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Theory of Randomized Search Heuristics [PDF]
Algorithmica, 2012 Randomized search heuristics such as evolutionary algorithms, evolution strategies, ant colony optimizers etc. are optimization algorithms that can be applied to a wide class of problems ranging from combinatorial to continuous optimization. They are popular in practice because they are generally easy to implement, their application requires little ...
Anne Auger, Carsten Witt
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Applied SciencesIn the fight against global climate change, the transportation sector is of critical importance because it is one of the major causes of total greenhouse gas emissions worldwide. Although urban rail transit systems offer a lower carbon footprint compared
Sertaç Savaş, Kamber Külahcı
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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017 If we search literature for integrated process planning and scheduling problem and for scheduling with due date assignment problem we can find hundreds of researches made on these problems.
Halil İbrahim Demir, Caner Erden
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