DrCaptcha: An interactive machine learning application

Computer Science and Information Systems

article

Rafael Glikis¹  Christos Makris¹  Nikos Tsirakis¹ 

[1] Computer Engineering and Informatics Department, University of Patras

关键词: machine learning;    neural networks;    transfer learning;    interactive machine learning;    ensemble techniques;   

DOI  :  10.2298/CSIS200130048G

学科分类：土木及结构工程学

来源: Computer Science and Information Systems

【 摘 要 】

The creation of a Machine Learning system is a typical process that is mostly automated. However, we may address some problems in the during development, such as the over-training on the training set. A technique for eliminating this phenomenon is the assembling of ensembles of models that cooperate to make predictions. Another problem that almost always occurs is the necessity of the human factor in the data preparation process. In this paper, we present DrCaptcha [15], an interactive machine learning system that provides third-party applications with a CAPTCHA service and, at the same time, uses the user's input to train artificial neural networks that can be combined to create a powerful OCR system. A different way to tackle this problem is to use transfer learning, as we did in one of our experiments [33], to retrain models trained on massive datasets and retrain them in a smaller dataset.

【 授权许可】

CC BY-NC-ND