Results 31 to 40 of about 161,341 (310)
A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition
International Journal of Applied Mathematics and Computer Science, 2019 The learning of neural networks is becoming more and more important. Researchers have constructed dozens of learning algorithms, but it is still necessary to develop faster, more flexible, or more accurate learning algorithms.
Jankowski Norbert, Linowiecki Rafał
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Direct Aperture Optimization for Intensity Modulated Radiation Therapy: Two Calibrated Metaheuristics and Liver Cancer Case Study [PDF]
International Journal of Industrial Engineering and Production Research, 2022 Integrated treatment planning for cancer patients has high importance in intensity modulated radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent approaches used in recent years to attain this goal.
Ali Fallahi +2 more
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Calculating Kolmogorov complexity from the output frequency distributions of small Turing machines. [PDF]
PLoS ONE, 2014 Drawing on various notions from theoretical computer science, we present a novel numerical approach, motivated by the notion of algorithmic probability, to the problem of approximating the Kolmogorov-Chaitin complexity of short strings.
Fernando Soler-Toscano +3 more
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CoRR, 2014 The U-curve optimization problem is characterized by a decomposable in U-shaped curves cost function over the chains of a Boolean lattice. This problem can be applied to model the classical feature selection problem in Machine Learning. Recently, the U-Curve algorithm was proposed to give optimal solutions to the U-curve problem.
Marcelo da Silva Reis +2 more
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Selected Multicriteria Shortest Path Problems: An Analysis of Complexity, Models and Adaptation of Standard Algorithms [PDF]
International Journal of Applied Mathematics and Computer Science, 2007 Selected Multicriteria Shortest Path Problems: An Analysis of Complexity, Models and Adaptation of Standard AlgorithmsThe paper presents selected multicriteria (multiobjective) approaches to shortest path problems. A classification of multi-objective shortest path (MOSP) problems is given.
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Lietuvos matematikos rinkinys, 2003 Lithuanian Olympiads in Informatics are being organized since 1990. Each Olympiad consists of three rounds. The final (national) one is divided into two parts, there are also elder and younger divisions. Each year there are supplied a lot of tasks. The paper deals with algorithmic problems of all the Lithuanian olympiads of school students and all the ...
Valentina Dagienė, Jūratė Skūpienė
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Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
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METHODS OF SOLVING THE PATTERN RECOGNITION PROBLEM USING RESIDUE NUMBER SYSTEM
Наука. Инновации. Технологии, 2022 The paper proposes a possibility of implementing algorithms of solving the pattern recognition problem in the Residue Number System. Considered the most advanced information processing algorithms in the Residue Number System and performed their ...
Nikolay Ivanovich Chervyakov +2 more
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Energies, 2022 The increasing number and functional complexity of power electronics in more electric aircraft (MEA) power systems have led to a high degree of complexity in modelling and computation, making real-time energy management a formidable challenge, and the ...
Bing Liu +4 more
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Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
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