Results 101 to 110 of about 33,807 (240)

L3 Regressive Transfer: A Study of Null Objects in the Basque and Spanish Grammars of Advanced L3 English Speakers

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Regressive transfer has been a subject that has not been extensively researched in the field of third language acquisition. This study aims to examine the extent to which a highly advanced knowledge of a third language (L3) affects the first language (L1) and the second language (L2) of early bilinguals in light of the Differential Stability ...
Maddi Alkain Arizmendi, María del Pilar García Mayo, Leona Polyanskaya   +2 more
wiley   +1 more source

Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function

International Statistical Review, EarlyView.
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler, Denis Belomestny, Simos George Meintanis, Emanuele Taufer   +3 more
wiley   +1 more source

Variational Bayesian Gaussian mixture model for off‐grid DOA estimation

Electronics Letters
Wireless signals are commonly subject to diverse and complex noise interference. The typical assumption of Gaussian white noise often oversimplifies the noise, resulting in reduced accuracy in estimating the direction of arrival (DOA), especially in ...
Shanwen Guan, Ji Li, Xiaonan Luo
doaj   +1 more source

Performance of svm, k-nn and nbc classifiers for text-independent speaker identification with and without modelling through merging models

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2016
This paper proposes some methods of robust text-independent speaker identification based on Gaussian Mixture Model (GMM). We implemented a combination of GMM model with a set of classifiers such as Support Vector Machine (SVM), K-Nearest Neighbour (K ...
Yussouf Nahayo, Seçkin Arı
doaj   +1 more source

Resource profiles and suicide attempts in youth with disabilities

Journal of Child Psychology and Psychiatry, EarlyView.
Background The issue of suicide among youth with disabilities transitioning into adulthood is a serious public health issue. In navigating this transition, youth with disabilities encounter unique obstacles that require careful consideration and support.
Minhae Cho, C. Hyung Keun Park, Misa Kayama, Sujin Seo, Jungjoon Ihm   +4 more
wiley   +1 more source

A study on robot force control based on the GMM/GMR algorithm fusing different compensation strategies

Frontiers in Neurorobotics
To address traditional impedance control methods' difficulty with obtaining stable forces during robot-skin contact, a force control based on the Gaussian mixture model/Gaussian mixture regression (GMM/GMR) algorithm fusing different compensation ...
Meng Xiao, Xuefei Zhang, Tie Zhang, Shouyan Chen, Yanbiao Zou, Wen Wu, Wen Wu   +6 more
doaj   +1 more source

One-Pass Sparsified Gaussian Mixtures

, 2019
We present a one-pass sparsified Gaussian mixture model (SGMM). Given $N$ data points in $P$ dimensions, $X$, the model fits $K$ Gaussian distributions to $X$ and (softly) classifies each point to these clusters.
Becker, Stephen, Kightley, Eric
core  

Simple Python‐based methods for analysis and drift‐correction of STM images

Journal of Microscopy, EarlyView.
Abstract A successful scanning tunnelling microscopy (STM) experiment relies on both delicate sample preparation and measurement, and careful image filtering and analysis to provide clear and solid results. Processing and analysis of STM images may result in a tricky task, due to the complexity and specificity of the probed systems.
Francesco Cazzadori, Alessandro Facchin, Silvio Reginato, Christian Durante   +3 more
wiley   +1 more source

A Variational Bayesian Adaptive Kalman Filter for the Random Losses Problem of Sensor Packet

IEEE Access
In this paper, a variational Bayesian adaptive Kalman filter (VBAKF) was used to solve the impact of unknown non-Gaussian measurement noise (NGMN) and sensor measurement loss in Wireless Sensor Networks (WSN) communication. First, the inverse Wishart (IW)
Changzhong Chen, Dahai Shu, Xie Leng, Haijun Long, Han Wu   +4 more
doaj   +1 more source