Results 81 to 90 of about 7,263 (222)

RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction

CoRR
Under ...
Ziye Tong, Jiahao Liu 0009, Weimin Zhang, Hongji Ruan, Derick Tang, Zhanpeng Zeng, Qinsong Zeng, Peng Zhang 0060, Tun Lu, Ning Gu 0001   +9 more
openaire   +2 more sources

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

Exploitation of Bio-Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images

Biomimetics
In the current scenario, liver abnormalities are one of the most serious public health concerns. Cirrhosis of the liver is one of the foremost causes of demise from liver diseases.
Karthikamani Ramamoorthy, Harikumar Rajaguru   +1 more
doaj   +1 more source

Unsupervised Global CBC/RUO/CPD Phenotyping Identifies Haematological Clusters Enriched for Thrombocytopenia Severity and Mechanisms

International Journal of Laboratory Hematology, EarlyView.
ABSTRACT Introduction Thrombocytopenia has heterogeneous mechanisms, including peripheral destruction, consumption, and reduced marrow production. This study developed an unsupervised global complete blood count/research‐use‐only/cell population data (CBC/RUO/CPD) phenotyping model and evaluated post hoc whether thrombocytopenia severity and clinically
Mohammad A. Altememi, Emmanuel J. Favaloro, Md Zahidul Islam, Sara Ng, Danny Hsu, Abishek B. Santhakumar   +5 more
wiley   +1 more source

Klasifikasi Kendaraan Menggunakan Gaussian Mixture Model (GMM) dan Fuzzy Cluster K Means (FCM)

Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2015
This paper describes how to record a moving object and save as new video files (* .avi), then filtering the moving objects (Vehicles) by using a Gaussian Mixture Model (GMM) with 2 types of distribution, i.e. Bacground and Foreground distribution.
Fitroh Amaluddin, M. Aziz Muslim, Agus Naba   +2 more
doaj   +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

Organized Crime, Corruption, and Economic Growth

Journal of Regional Science, Volume 65, Issue 2, Page 535-560, March 2025.
ABSTRACT In this paper, we study the relationship between organized crime, corruption, and economic growth on a data set from Italian regions for the period 1996–2013. Our working hypothesis is that organized crime can embezzle part of the public expenditure aimed at productive uses by threatening and bribing public officers. To assess the consequences
Tamara Fioroni, Andrea Mario Lavezzi, Giovanni Trovato   +2 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

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