نتایج جستجو برای: robust joint modeling

تعداد نتایج: 762879  

Journal: :Schizophrenia research 2015
Stephen Z Levine Yair Goldberg Myrto Samara John M Davis Stefan Leucht

BACKGROUND Dropout is a serious challenge to clinical trials in psychiatry, yet standard outcome analyses with mixed models do not account for dropout, while joint modeling uses dropout from a survival model to adjust the outcome from a mixed model, but is untested in clinical trials of schizophrenia. AIMS To compare mixed and joint modeling in three acute phase pivotal placebo controlled tri...

Journal: :iranian journal of science and technology (sciences) 2005
m. ganjali

a generalized heckman model is used for the joint modeling of longitudinal continuousresponses and dropout in order to see the influence of a small perturbation of the elements of thecovariance structure on displacement of the likelihood. the perturbation from random dropout in thedirection of informative dropout is considered for mastitis data.

Journal: :journal of industrial engineering, international 2006
p hanafizadeh a seifi k ponnambalam

this paper proposes a family of robust counterpart for uncertain linear programs (lp) which is obtained for a general definition of the uncertainty region. the relationship between uncertainty sets using norm bod-ies and their corresponding robust counterparts defined by dual norms is presented. those properties lead us to characterize primal and dual robust counterparts. the researchers show t...

Journal: :I. J. Robotics Res. 2004
Rony Caballero Manuel A. Armada Teodor Akinfiev

In this paper we consider the postural stability problem for nonlinearly actuated quasi-static biped robots, both with respect to the joint angular positions and also with reference to the gripping effect between the foot/feet against the ground during robot locomotion. Zero moment point based mathematical models are developed to establish a relationship between the robot state variables and th...

Journal: :Multimedia Tools and Applications 2020

1998
Marcel Bergerman Yangsheng Xu Yunhui Liu

We propose in this work the first model-based robust control method for a team of underactuated manipulators jointly manipulating a load. The method is based on feedback linearization of the nonlinear dynamic coupling between the torques applied at the actuated joints and the Cartesian acceleration of the load, combined with a variable structure controller. Singularities in the control method a...

Although, speech recognition systems are widely used and their accuracies are continuously increased, there is a considerable performance gap between their accuracies and human recognition ability. This is partially due to high speaker variations in speech signal. Deep neural networks are among the best tools for acoustic modeling. Recently, using hybrid deep neural network and hidden Markov mo...

2015
Nanying Shentu Guohua Qiu Qing Li Renyuan Tong Nankai Shentu Yanjie Wang

Underground displacement monitoring is a key means to monitor and evaluate geological disasters and geotechnical projects. There exist few practical instruments able to monitor subsurface horizontal and vertical displacements simultaneously due to monitoring invisibility and complexity. A novel underground displacement 3D measuring sensor had been proposed in our previous studies, and great eff...

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