Results 21 to 30 of about 3,224,686 (322)
Active Learning with Statistical Models [PDF]
For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techniques have been used with feedforward neural networks.
Cohn, D. A. +2 more
core +9 more sources
Active learning for feasible region discovery [PDF]
Often in the design process of an engineer, the design specifications of the system are not completely known initially. However, usually there are some physical constraints which are already known, corresponding to a region of interest in the design ...
Couckuyt, Ivo +3 more
core +1 more source
Background Whole-of-school programs have demonstrated success in improving student physical activity levels, but few have progressed beyond efficacy testing to implementation at-scale.
D R Lubans +20 more
doaj +1 more source
Using Active Learning and Team Competition to Teach Gas Turbine Cycle Design [PDF]
An elective, Analysis and Design of Propulsion Systems, has been a traditional lecture course teaching gas turbine engines from a design perspective.
Van Treuren, Kenneth
core +1 more source
This is me! Becoming the best of be: A case study
Since the beginning of humanity, questions about our identity, purpose, and origins have been at the forefront of our existential concerns. This case study article aims to approximate practical answers to these questions.
Carlos A Raimundo, Melanie Raimundo
doaj +1 more source
This two-phase study involved the design, development, and evaluation of netball-specific high-intensity interval training sessions (Netball-HIIT) for use with netballers of varied ages and abilities.
Narelle Eather +3 more
doaj +1 more source
Undergraduate life science education faces high attrition rates, especially among students from underrepresented groups. These disparities are often linked to differences in prior knowledge, self-efficacy, and interest, which are rarely addressed in ...
Samuel Tobler, Katja Köhler
doaj +1 more source
Quantum machine learning, as an extension of classical machine learning that harnesses quantum mechanics, facilitates effiient learning from data encoded in quantum states. Training a quantum neural network typically demands a substantial labeled training set for supervised learning.
Yongcheng Ding +4 more
openaire +2 more sources
Background: In this paper we outline the protocol for an implementation-effectiveness trial of ecofit, a multi-component mHealth intervention aimed at increasing participation in resistance and aerobic physical activity using the outdoor built ...
Anna K. Jansson +9 more
doaj +1 more source
Background Physically active learning (PAL) - integration of movement within delivery of academic content - is a core component of many whole-of-school physical activity approaches. Yet, PAL intervention methods and strategies vary and frequently are not
Andrew Daly-Smith +14 more
doaj +1 more source

