Results 251 to 260 of about 24,615,903 (307)

Cross-lingual embeddings with auxiliary topic models

Expert Systems with Applications, 2022
Abstract Projection-based methods for generating high-quality Cross-Lingual Embeddings (CLEs) have shown state-of-the-art performance in many multilingual applications. Supervised methods that rely on character-level information or unsupervised methods that need only monolingual information are both popular and have their pros and cons.
Dong Zhou 0001, Xiaoya Peng, Lin Li 0001, Jun-mei Han   +3 more
openaire   +1 more source

Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity

International Journal of Robust and Nonlinear Control, 2020
This article focuses on the parameter estimation problem of the input nonlinear system where an input variable‐gain nonlinear block is followed by a linear controlled autoregressive subsystem.
Yamin Fan, Ximei Liu
semanticscholar   +1 more source

Nonparametric Modeling Auxiliary Covariates in Random Coefficient Models

Communications in Statistics - Simulation and Computation, 2012
Random coefficient model (RCM) is a powerful statistical tool in analyzing correlated data collected from studies with different clusters or from longitudinal studies. In practice, there is a need for statistical methods that allow biomedical researchers to adjust for the measured and unmeasured covariates that might affect the regression model.
Jianwei Chen, Xiaofei Wang, Dai Yang, Boming Fan   +3 more
openaire   +1 more source

Modeling auxiliary features in tandem systems

Interspeech 2004, 2004
Tandem systems transform the cepstral features into posterior probabilities of subword units using artificial neural networks (ANNs), which are processed to form input features for conventional speech recognition systems. They have been shown to perform better than conventional speech recognition systems using cepstral features.
Mathew Magimai-Doss, Shajith Ikbal, Todd A. Stephenson, Hervé Bourlard   +3 more
openaire   +1 more source

Auxiliary Model‐Based Maximum Likelihood Multi‐Innovation Forgetting Gradient Identification for a Class of Multivariable Systems

Optimal control applications & methods
Through dividing a multivariable system into several subsystems, this paper derives the sub‐identification model. Utilizing the obtained sub‐identification model, an auxiliary model‐based maximum likelihood forgetting gradient algorithm is derived ...
Huihui Wang, Ximei Liu
semanticscholar   +1 more source

Auxiliary Model Maximum Likelihood Moving‐Data‐Window Generalized Extended Gradient‐Based Iterative Algorithm for Multivariable Autoregressive Output‐Error Autoregressive Moving‐Average Systems

Optimal control applications & methods
This article considers the parameter estimation problems of multivariable autoregressive output‐error autoregressive moving‐average systems. To alleviate the identification difficulty of systems, we decompose the multivariable autoregressive output‐error
Qian Zhang, Ximei Liu
semanticscholar   +1 more source

Modelling of auxiliary ventilation systems

Mining Technology, 2003
AbstractIn subsurface excavations, auxiliary ventilation systems are an important and integrated component of the overall ventilation scheme. Without adequate auxiliary ventilation, it is impossible to provide sufficient air to working faces, regardless of the quantity or quality of air in the main airways.
I. J. Duckworth, I. S. Lowndes
openaire   +1 more source

Auxiliary Model-Based Chameleon Swarm Optimization for Robust Parameter Estimation of Fractional Order Nonlinear Hammerstein Systems

Journal of Computational and Nonlinear Dynamics
Fractional calculus, an extension of traditional calculus to non-integer order, has become an influential tool for modeling complex engineering problems by incorporating historical data for better system understanding.
Muhammad Aown Ali, Naveed Ishtiaq Chaudhary, Taimoor Ali Khan, Wei-Lung Mao, Chien-Chou Lin, Zeshan Aslam Khan, Muhammad Asif Zahoor Raja   +6 more
semanticscholar   +1 more source

Estimation in semiparametric models using an auxiliary model

Statistical Papers, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huschens, Stefan, Stahl, Gerhard
openaire   +1 more source

SplitAUM: Auxiliary Model-Based Label Inference Attack Against Split Learning

IEEE Transactions on Network and Service Management
Split learning has emerged as a practical and efficient privacy-preserving distributed machine learning paradigm. Understanding the privacy risks of split learning is critical for its application in privacy-sensitive scenarios.
Kai Zhao, Xiaowei Chuo, Fangchao Yu, Bo Zeng, Zhi Pang, Lina Wang   +5 more
semanticscholar   +1 more source