GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

نویسندگان
چکیده

برای دانلود رایگان 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

Generating Interpretable Images with Controllable Structure

We demonstrate improved text-to-image synthesis with controllable object locations using an extension of Pixel Convolutional Neural Networks (PixelCNN). In addition to conditioning on text, we show how the model can generate images conditioned on part keypoints and segmentation masks. The character-level text encoder and image generation network are jointly trained end-to-end via maximum likeli...

متن کامل

Revisiting algorithms for generating surrogate time series

The method of surrogates is one of the key concepts of nonlinear data analysis. Here, we demonstrate that commonly used algorithms for generating surrogates often fail to generate truly linear time series. Rather, they create surrogate realizations with Fourier phase correlations leading to nondetections of nonlinearities. We argue that reliable surrogates can only be generated, if one tests se...

متن کامل

Coupling Wind Generation with Controllable Load and Storage: A Time-Series Application of the SuperOPF

(PSERC) is a multi-university Center and NSF I/UCR conducting research on challenges facing the electric power industry and educating the next generation of power engineers. More information about PSERC can be found at the Center's website: Notice Concerning Copyright Material PSERC members are given permission to copy without fee all or part of this publication for internal use if appropriate ...

متن کامل

Generating Diverse Solutions in SAT

This paper considers the DiversekSet problem in SAT, that is, the problem of efficiently generating a number of diverse solutions (satisfying assignments) given a propositional formula. We provide an extensive analysis of existing algorithms for this problem in a newly developed framework and propose new algorithms. While existing algorithms adapt modern SAT solvers to solve DiversekSet by chan...

متن کامل

Boosting Diverse Learners for Domain Agnostic Time Series Classification

Although most classification methods benefit from the incorporation of domain knowledge, some situations call for a single algorithm that applies to a wide range of diverse domains. In such cases, the techniques and biases that prove useful in one domain may be irrelevant or even harmful in another. This paper addresses the problem of constructing a domain agnostic time series classification al...

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: Statistical Analysis and Data Mining: The ASA Data Science Journal

سال: 2020

ISSN: 1932-1864,1932-1872

DOI: 10.1002/sam.11461