Learning from small datasets containing nominal attributes
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.069
Abstract: Abstract In many small-data-learning problems, owing to the incomplete data structure, explicit information for decision makers is limited. Although machine learning algorithms are extensively applied to extract knowledge, most of them are developed without considering… read more here.
Keywords: continuous outputs; learning small; training sets; small datasets ... See more keywords
Mixed-mode instruction using active learning in small teams improves generic problem-solving skills of university students
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Further and Higher Education"
DOI: 10.1080/0309877x.2020.1826036
Abstract: ABSTRACT The importance of advancing the ‘employability skills’ of students throughout their undergraduate education has been increasingly recognised by students and university instructors. Development of these essential skills is hindered by the lack of widely… read more here.
Keywords: mixed mode; problem; learning small; problem solving ... See more keywords
The owner-manager’s role as a facilitator of informal learning in small businesses
Sign Up to like & getrecommendations! Published in 2019 at "Human Resource Development International"
DOI: 10.1080/13678868.2019.1585695
Abstract: ABSTRACT Few studies have examined the owner-manager as a facilitator of learning in small businesses. Furthermore, these studies are typically not framed by distinctive characteristics of small businesses. These limitations of the literature stimulated us… read more here.
Keywords: small businesses; owner; learning small; facilitator ... See more keywords