Search results for " learning"
showing 10 items of 5299 documents
Vuorovaikutusosaaminen ja sen kehittyminen tutkijoiden työssä
2014
Ideology in Vicarious Learning-Related Communication
2021
Organizations often learn vicariously by observing what other organizations do. Our study examines vicarious learning–related communication through which individuals share their observations with other organizational members. Most students and members of present-day organizations would expect that this communication is driven by a prodevelopment logic—that communication serves the purpose of organizational improvement and competitiveness. Our unique historical evidence on learning-related communication over multiple decades shows that the subjective and collective attitude toward prodevelopment communication may be ideologically conditioned. Prodevelopment communication is the norm in capit…
H&E Multi-Laboratory Staining Variance Exploration with Machine Learning
2022
In diagnostic histopathology, hematoxylin and eosin (H&E) staining is a critical process that highlights salient histological features. Staining results vary between laboratories regardless of the histopathological task, although the method does not change. This variance can impair the accuracy of algorithms and histopathologists’ time-to-insight. Investigating this variance can help calibrate stain normalization tasks to reverse this negative potential. With machine learning, this study evaluated the staining variance between different laboratories on three tissue types. We received H&E-stained slides from 66 different laboratories. Each slide contained kidney, skin, and colon tissue sampl…
Seeing red? Colour biases of foraging birds are context dependent.
2020
Funder: Suomen Kulttuurirahasto; doi: http://dx.doi.org/10.13039/501100003125
Music adviser : emotion-driven music recommendation ecosystem
2017
In respect of the big amounts of music available in the web, people met the problem of choice. From another side, practically unlimited resources can bring us new opportunities in the music context. Efficient data management engines which are smart and self managed are in demand nowadays in the music industry to handle music sources amounts of which are coming towards to infinity continuously. This study demonstrates feasibility of the emotional based personalization of music recommendation system. There is still gap between human and artificial intelligence, robotics do not have intuition and emotions which represent critical point of recommendations. Taking into account significant influe…
First Stages of Adult Students Relationship to Scientific Knowing and Research in the Open University's Web-Based Methodology Course
2016
The adult students who participate in the web-based studies of the open university have in many ways heterogeneous starting points for studying and learning, for example, the educational backgrounds, the acquired work experience, the general academic skills and the objectives of the future can vary considerably. The adult students striving from the different starting points pursue their own individual objectives and the set educational dimensions of the academic education. In the academic adult education, individuality and the adult student's autonomy are emphasized and at the same time, diverse knowledge, skills and understanding are sought after. One key objective of the higher education …
Videowikis for improved problem-based collaborative learning: Engaging information systems science students
2013
The contemporary era of social media and web 2.0 has enabled a bottom-up on-line collaborative approach with easy content creation and subsequent knowledge sharing. The technically literate students of today and the changes in pedagogy towards a user-centred approach, where learners engage in the learning process by constructing new ideas and concepts based on their current or past knowledge facilitate the use of social media in learning environments. This paper describes the combination of a wiki and screen capture videos as a complementary addition to conventional lectures in an information management and information systems development course. The basis for our approach was collaborative…
Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era
2018
The unprecedented growth of wireless data traffic not only challenges the design and evolution of the wireless network architecture, but also brings about profound opportunities to drive and improve future networks. Meanwhile, the evolution of communications and computing technologies can make the network edge, such as BSs or UEs, become intelligent and rich in terms of computing and communications capabilities, which intuitively enables big data analytics at the network edge. In this article, we propose to explore big data analytics to advance edge caching capability, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resou…
Trajectory Design and Resource Allocation for Multi-UAV Networks : Deep Reinforcement Learning Approaches
2023
The future mobile communication system is expected to provide ubiquitous connectivity and unprecedented services over billions of devices. The unmanned aerial vehicle (UAV), which is prominent in its flexibility and low cost, emerges as a significant network entity to realize such ambitious targets. In this work, novel machine learning-based trajectory design and resource allocation schemes are presented for a multi-UAV communications system. In the considered system, the UAVs act as aerial Base Stations (BSs) and provide ubiquitous coverage. In particular, with the objective to maximize the system utility over all served users, a joint user association, power allocation and trajectory desi…