Search Results - "polynomial kernel method"

Comparison between the Local Polynomial Kernel Method and cubic spline to Estimating Time-Varying Coefficients Model by Abdul-Kareem Fayadh, Noor, Jaafar Hussain, Wafaa

“…The research deals with the study of the varying coefficient model as well as the Time-Varying Coefficient Model because of their remarkable interest in recent…”
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An effective version of Schmüdgen’s Positivstellensatz for the hypercube by Laurent, Monique, Slot, Lucas

“…Let S ⊆ R n be a compact semialgebraic set and let f be a polynomial nonnegative on S . Schmüdgen’s Positivstellensatz then states that for any η > 0 , the…”
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Recognizing sentence emotions based on polynomial kernel method using Ren-CECps by Changqin Quan, Ren, F.

“…Emotion recognition on text has wide applications. In this study we propose a method of emotion recognition at sentence level based on a relative large emotion…”
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An Unsupervised Text Mining Method for Relation Extraction from Biomedical Literature by Quan, Changqin, Wang, Meng, Ren, Fuji

“… Pattern clustering algorithm is based on Polynomial Kernel method, which identifies interaction words from unlabeled data…”
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Cyclic and helical symmetry-informed machine learned force fields: Application to lattice vibrations in carbon nanotubes by Sharma, Abhiraj, Kumar, Shashikant, Suryanarayana, Phanish

“…). In particular, employing the smooth overlap of atomic positions descriptors with the polynomial kernel method, we derive cyclic and helical symmetry-adapted expressions for the energy, atomic forces, and phonons, i.e…”
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FRATS: Functional Regression Analysis of DTI Tract Statistics by Hongtu Zhu, Styner, M., Niansheng Tang, Zhexing Liu, Weili Lin, Gilmore, J.H.

“… The functional regression framework consists of four integrated components: the local polynomial kernel method for smoothing multiple diffusion properties along individual…”
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An explainable AI model for power plant NOx emission control by Zhou, Yuanye, Aslanidou, Ioanna, Karlsson, Mikael, Kyprianidis, Konstantinos

“… In this study, a novel explainable AI (XAI) model that combines the polynomial kernel method with Sparse Identification of Nonlinear Dynamics (SINDy…”
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Efficient polynomial kernel-based method for multi-term time-fractional diffusion systems in regular and irregular domains by Azarnavid, Babak, Fardi, Mojtaba, Emami, Hojjat

“…This paper presents an efficient polynomial kernel-based method for solving multi-term nonlinear time-fractional diffusion systems in high-dimensional regular…”
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Multivariate varying coefficient models for DTI tract statistics by Zhu, Hongtu, Styner, Martin, Li, Yimei, Kong, Linglong, Shi, Yundi, Lin, Weili, Coe, Christopher, Gilmore, John H

“…Diffusion tensor imaging (DTI) is important for characterizing the structure of white matter fiber bundles as well as detailed tissue properties along these…”
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Cyclic and helical symmetry-informed machine learned force fields: Application to lattice vibrations in carbon nanotubes by Sharma, Abhiraj, Kumar, Shashikant, Suryanarayana, Phanish

“…). In particular, employing the smooth overlap of atomic positions descriptors with the polynomial kernel method, we derive cyclic and helical symmetry-adapted expressions for the energy, atomic forces, and phonons…”
Get full text

An effective version of Schmüdgen's Positivstellensatz for the hypercube by Laurent, Monique, Slot, Lucas

“…Let \(S \subseteq \mathbb{R}^n\) be a compact semialgebraic set and let \(f\) be a polynomial nonnegative on \(S\). Schm\"udgen's Positivstellensatz then…”
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Model inference for Ordinary Differential Equations by parametric polynomial kernel regression by Green, David K E, Rindler, Filip

“… This work introduces a parametric polynomial kernel method that can be used for inferring the future behaviour of Ordinary Differential Equation models, including chaotic dynamical systems, from observations…”
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Some classical and Bayesian nonparametric regression methods in a longitudinal marginal model by Seo, Jeonggang

“… In classical statistics, the local polynomial kernel method for longitudinal data possesses a somewhat surprising phenomenon called working independence, which implies this common classical method…”
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Using Polynomial Kernel Support Vector Machines for Speaker Verification by Yaman, S., Pelecanos, J.

“…) and second degree polynomial kernel methods. We present two techniques for overcoming the memory and computational challenges that PK-SVMs pose…”
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RANDOM TIME-VARYING COEFFICIENT MODEL ESTIMATION THROUGH RADIAL BASIS FUNCTIONS by Juan Camilo Sosa, Díaz, Luis Guillermo

“… The proposed methodology is compared with the local polynomial kernel methods by means of a simulation study…”
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Random Time-Varying Coefficient Model Estimation through Radial Basis Functions Estimación de los coeficientes de un modelo de coeficientes dinámicos y aleatorios a través de funciones radiales kernel by LUIS GUILLERMO DÍAZ, JUAN CAMILO SOSA

“… The proposed methodology is compared with the local polynomial kernel methods by means of a simulation study…”
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Differential Privacy of Cross-Attention with Provable Guarantee by Liang, Yingyu, Shi, Zhenmei, Zhao, Song, Zhou, Yufa

“…Cross-attention has become a fundamental module nowadays in many important artificial intelligence applications, e.g., retrieval-augmented generation (RAG),…”
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