Statistical and machine learning models for optimizing energy in parallel applications

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parallel EM Learning for Symbolic- Statistical Models

EM learning, i.e. parameter learning for probabilistic models using the EM algorithm, requires a larger amount of time and memory space as data size increases. One way to cope with this problem is to take advantage of the power of parallel computing. In this paper, we introduce a data-parallel algorithm for EM learning applicable to the probabilistic models represented by PRISM, a programming l...

متن کامل

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

متن کامل

The statistical models of parallel applications performance

In the above raport the usage of the statistical methods to predict the efficiency of the parallel application was proposed. Statistical models can be helpful in choosing the suitable working environment and also parameters to put in motion the applications. With the help of statistical models it can be stated if the inclusion of parallel computers is justifiable. According to the execution tim...

متن کامل

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

15 صفحه اول

Improving the Performance of Machine Learning Algorithms for Heart Disease Diagnosis by Optimizing Data and Features

Heart is one of the most important members of the body, and heart disease is the major cause of death in the world and Iran. This is why the early/on time diagnosis is one of the significant basics for preventing and reducing deaths of this disease. So far, many studies have been done on heart disease with the aim of prediction, diagnosis, and treatment. However, most of them have been mostly f...

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

ژورنال

عنوان ژورنال: The International Journal of High Performance Computing Applications

سال: 2019

ISSN: 1094-3420,1741-2846

DOI: 10.1177/1094342019842915