Results 71 to 80 of about 975 (221)
Applications of Volterra's theory of composition to hypergeometric functions
, 1951 The main results of this thesis are the generalizations of previous known results given by Hadamard (6), and Thielman (12) on integral addition theorems of Bessel functions, namely Theorems 5.8 and 5.9.
Wedel, Arnold
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, 2012 Знайдено умови, за яких з належності до валіронового класу збіжності цілих функцій f і g випливає належність до цього класу похідної Гельфонда-Леонтьєва адамарової композиції функцій f і g та адамарової композиції похідних Гельфонда-Леонтьєва цих функцій.
Шеремета, Мирослав +1 more
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Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
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Inward matrix products, generalised density functions and Rayleigh-Schrödinger perturbation theory
, 2000 A matrix product, the inward product, of two matrices is defined as an operation of internal composition involving two (m×n)-dimensional matrices and yielding another matrix of the same dimension.
Sen, K. D., Carbo-Dorca, R.
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Relational style laws and constructs of linear algebra [PDF]
, 2014 We present a few laws of linear algebra inspired by laws of relation algebra. The linear algebra laws are obtained from the relational ones by replacing union, intersection, composition and converse by the linear algebra operators of addition, Hadamard ...
Möller, Bernhard +2 more
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ANPGT: Towards Adaptive Node Property Extraction and Integration
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen +4 more
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High Voltage, EarlyView.ABSTRACT As one of the important links in energy transition and global energy interconnection, electric vehicles (EVs) are becoming increasingly major research topics in the field of energy. Partial discharge (PD) identification under repetitive impulsive voltages plays a pivotal role in evaluating the health of electric vehicle (EV) motor insulation ...
Li Wang +7 more
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BANACH FAMILIES AND THE IMPLICIT FUNCTION THEOREM [PDF]
We generalise the classical implicit function theorem (IFT) for a family of Banach spaces, with the resulting implicit function having derivatives that are locally Lipschitz to very strong operator norms.Banach spaces, Implicit Function ...
Mertens, Jean-Francois, Rubinchik, Anna
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AlignPCA‐2D: PCA‐reduced Euclidean vector alignment for 2D classification in cryo‐EM
Acta Crystallographica Section D, EarlyView.We introduce AlignPCA‐2D, a PCA‐space Euclidean alignment method for rapid and interpretable 2D classification of cryo‐EM particle images. The approach preserves essential structural variability while greatly reducing computational cost, offering a lightweight alternative to existing large‐scale cryo‐EM classification pipelines.Cryogenic electron ...
E. Ramírez-Aportela +6 more
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British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
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