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Survey on Hierarchical Clustering for Machine Learning [PDF]
Jisuanji kexue, 2023 Clustering analysis plays a key role in machine learning,data mining and biological DNA information.Clustering algorithms can be categorized into flat clustering and hierarchical clustering.Flat clustering mostly divides the data set into K parallel ...
WANG Shaojiang, LIU Jia, ZHENG Feng, PAN Yicheng
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Improved Epstein–Glaser renormalization in x-space versus differential renormalization
Nuclear Physics B, 2014 Renormalization of massless Feynman amplitudes in x-space is reexamined here, using almost exclusively real-variable methods. We compute a wealth of concrete examples by means of recursive extension of distributions.
José M. Gracia-Bondía +2 more
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Dynamic generalised additive models (DGAMs) for forecasting discrete ecological time series
Methods in Ecology and Evolution, 2023 Generalised additive models (GAMs) are increasingly popular tools for estimating smooth nonlinear relationships between predictors and response variables.
Nicholas J. Clark, Konstans Wells
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Some Competition Programming Problems as the Beginning of Artificial Intelligence
Informatics in Education, 2007 We consider in this paper some programming competition problems (which are near to some problems of ACM competitions) of the following subjects: we can make their solution using both Prolog and a classical procedure-oriented language.
Boris MELNIKOV, Elena MELNIKOVA
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Applied Sciences, 2023 Higher derivatives are important to interpret the physical process. However, higher derivatives calculated from measured data often deviate from the real ones because of measurement errors.
Xibo Wang +4 more
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“dynmix”: An R package for the estimation of dynamic finite mixtures
SoftwareX, 2023 “dynmix” is an R package allowing to estimate dynamic mixture models with state-space components and with normal regression components. Additionally it implements clustering with normal mixture.
Krzysztof Drachal
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Study of algorithmic approaches to digital signal filtering and the influence of input quantization on output accuracy [PDF]
E3S Web of ConferencesThis article explores the design and application of intelligent control systems tailored for industrial and production environments, with a particular focus on integrating advanced digital filtering and noise reduction strategies.
Shermuradova Malika +4 more
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A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks
IEEE Access, 2022 Temporal datasets that describe complex interactions between individuals over time are increasingly common in various domains. Conventional graph representations of such datasets may lead to information loss since higher-order relationships between more ...
Masaaki Inoue +2 more
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Applied Sciences, 2021 Reservoir computing refers to a computational framework based on recurrent neural networks that can process time-series data. In an echo state network (ESN), which is a type of reservoir computing framework, the reservoir consists of a recursive network ...
Hideki Ogawa, Yasutake Takahashi
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On Signifiable Computability: Part I: Signification of Real Numbers, Sequences, and Types
MathematicsSignifiable computability aims to separate what is theoretically computable from what is computable through performable processes on computers with finite amounts of memory.
Vladimir A. Kulyukin
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