General Piecewise Growth Mixture Model: Word Recognition Development for Different Learners in Different Phases

نویسندگان

  • Amery D. Wu
  • Bruno D. Zumbo
  • Linda S. Siegel
چکیده

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mixture of Experts for Persian handwritten word recognition

This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification ...

متن کامل

Written word recognition by the elementary and advanced level Persian-English bilinguals

According  to  a  basic  prediction  made  by  the  Revised  Hierarchical  Model  (RHM),  at  early  stages  of language  acquisition,  strong  L2-L1  lexical  links  are  formed.  RHM  predicts  that  these  links  weaken with  increasing  proficiency,  although  they  do  not  disappear  even  at  higher  levels  of  language development. To test this prediction, two groups of highly proficie...

متن کامل

Allophone-based acoustic modeling for Persian phoneme recognition

Phoneme recognition is one of the fundamental phases of automatic speech recognition. Coarticulation which refers to the integration of sounds, is one of the important obstacles in phoneme recognition. In other words, each phone is influenced and changed by the characteristics of its neighbor phones, and coarticulation is responsible for most of these changes. The idea of modeling the effects o...

متن کامل

Piecewise Linear–Linear Latent Growth Mixture Models With Unknown Knots

Latent growth curve models with piecewise functions are flexible and useful analytic models for investigating individual behaviors that exhibit distinct phases of development in observed variables. As an extension of this framework, this study considers a piecewise linear–linear latent growth mixture model (LGMM) for describing segmented change of individual behavior over time where the data co...

متن کامل

Effects of Different Approaches to Use of Non-Renewable (Oil) Resource’s Revenues on Iran’s Economic Growth

In this paper, we use the insights of the Real Business Cycles School, to calculate effects of different approaches to allocation of non-renewable (oil) resources’ revenues on Iran’s economic growth. We compare three different approaches, namely allocating the total revenue to the government, allocating some part of the revenue to the government and the rest to investing and allocating the reve...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017