Machine Learning for Model Error Inference and Correction

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

Joint Learning and Inference for Grammatical Error Correction

State-of-the-art systems for grammatical error correction are based on a collection of independently-trained models for specific errors. Such models ignore linguistic interactions at the sentence level and thus do poorly on mistakes that involve grammatical dependencies among several words. In this paper, we identify linguistic structures with interacting grammatical properties and propose to a...

متن کامل

Machine Learning and Algorithmic Techniques for Error Correction

Many types of data, such as natural languages, have rich internal redundancy, which can be used to substantially improve the error correction performance. This work studies machine learning and algorithmic techniques for correcting errors in compressed or uncompressed languages.

متن کامل

Dual Inference for Machine Learning

Recent years have witnessed the rapid development of machine learning in solving artificial intelligence (AI) tasks in many domains, including translation, speech, image, etc. Within these domains, AI tasks are usually not independent. As a specific type of relationship, structural duality does exist between many pairs of AI tasks, such as translation from one language to another vs. its opposi...

متن کامل

Grammatical Error Correction: Machine Translation and Classifiers

We focus on two leading state-of-the-art approaches to grammatical error correction – machine learning classification and machine translation. Based on the comparative study of the two learning frameworks and through error analysis of the output of the state-of-the-art systems, we identify key strengths and weaknesses of each of these approaches and demonstrate their complementarity. In particu...

متن کامل

Robot Learning and Error Correction

We descr ibe a l ea rn ing paradigm designed to improve the performance of a robot in a p a r t i a l l y unpred ic tab le environment. The paradigm was suggested by phenomena observed in animal behavior and it models aspects of t ha t behavior. (See Fl f o r d e t a i l s . ) An implementation as a working program is under way, intended f o r i nco rpo ra t i on in the now ope ra t i ona l JPL...

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: Journal of Advances in Modeling Earth Systems

سال: 2020

ISSN: 1942-2466,1942-2466

DOI: 10.1029/2020ms002232