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A semi-supervised classification technique based on interacting forces
(ElsevierAmsterdam, 2014-03-15)
Semi-supervised learning is a classification paradigm in which just a few labeled instances are available for the training process. To overcome this small amount of initial label information, the information provided by ...
Improving Semi-supervised Learning Through Optimum Connectivity
(Elsevier Sci LTDOxford, 2016)
Multi-label semi-supervised classification through optimum-path forest
(Elsevier B.V., 2018-10-01)
Multi-label classification consists of assigning one or multiple classes to each sample in a given dataset. However, the project of a multi-label classifier is usually limited to a small number of supervised samples as ...
Diretrizes para implantação coletiva e semipresencial de sistemas certificáveis de gestão
(2013-10-10)
This paper aims to develop guidelines for the collective and semi-presence-based implementation of (a situation in which there is no active participation of a consultant specialist in the company) certifiable management ...
THE IN/TRAINING OF THE SCHOOL MANAGER TO DEAL WITH SEXUALITY
(Univ Estadual Paulista Julio Mesquita Filho, Fac Ciencias & Tecnologia, 2018-05-01)
The present study aimed to know the difficulties and facilities of managers in dealing with situations involving sexuality in school. In addition, it sought to investigate subjects that they consider relevant to be worked ...
Specific futsal training program can improve the physical performance of futsal players
(2016-08-01)
Purpose: This study investigated the effects of 12-week of specific futsal training on body composition, oxygen uptake (VO2max), anaerobic capacity, and agility of male semi-professional futsal players. Methods: Thirteen ...
Significance Of Assessment Experiences During Initial Teacher Training In Physical Education
(Universidade Estadual Paulista - UNESP, 2016)
Semi-supervised dimensionality reduction based on partial least squares for visual analysis of high dimensional data
(WILEY-BLACKWELLHOBOKEN, 2012)
Dimensionality reduction is employed for visual data analysis as a way to obtaining reduced spaces for high dimensional data or to mapping data directly into 2D or 3D spaces. Although techniques have evolved to improve ...
SOCIALIZATION EXPERIENCES AND AGENTS-PARTNERS IN SHAPING THE COLLEGE STUDENT-INTERPACES OF ACADEMIC PRODUCTIVITY
(Univ Metodista Piracicaba-unimep, 2016-01-01)
The work aims to analyze the impacts of academic productivity in students' education, in which problematize the social and university policy, directed to their spaces of socialization and training dimensions, ethics. The ...