Can Machine Learning Approaches Lead Toward Personalized Cognitive Training?
نویسندگان
چکیده
منابع مشابه
Toward Personalized Relational Learning
Relational learning exploits relationships among instances manifested in a network to improve the predictive performance of many network mining tasks. Due to its empirical success, it has been widely applied in myriad domains. In many cases, individuals in a network are highly idiosyncratic. They not only connect to each other with a composite of factors but also are often described by some con...
متن کاملLexical and Machine Learning Approaches Toward Online Reputation Management
With the popularity of social media, people are more and more interested in mining opinions from it. Learning from social media not only has value for research, but also good for business use. RepLab 2012 had Profiling task and Monitoring task to understand the company related tweets. Profiling task aims to determine the Ambiguity and Polarity for tweets. In order to determine this Ambiguity an...
متن کاملApproaches to machine learning
The field of machine learning strives to develop methods and techniques to automate the acquisition of new information, new skills, and new ways of organizing existing information. In this article, we review the major approaches to machine learning in symbolic domains, covering the tasks of learning concepts from examples, learning search methods, conceptual clustering, and language acquisition...
متن کاملMachine Learning Approaches for Dealing with Limited Bilingual Training Data in Statistical Machine Translation
Statistical Machine Translation (SMT) models learn how to translate by examining a bilingual parallel corpus containing sentences aligned with their human-produced translations. However, high quality translation output is dependent on the availability of massive amounts of parallel text in the source and target languages. There are a large number of languages that are considered low-density, ei...
متن کاملMachine Learning for Personalized Wireless Portals
People have access to vast stores of information on the World Wide Web ranging from online publications to electronic commerce. All this information, however, used to be accessible only while users are tethered to a computer at home or in an office. Wireless data and voice access to this vast store allows unprecedented access to information from any location at any time. The presentation of thi...
متن کاملذخیره 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: Frontiers in Behavioral Neuroscience
سال: 2019
ISSN: 1662-5153
DOI: 10.3389/fnbeh.2019.00064