Searched for: subject%3A%22Adaptive%255C+learning%22
(1 - 5 of 5)
document
Wilschut, Thomas (author), Sense, Florian (author), Scharenborg, O.E. (author), van Rijn, Hedderik (author)
Cognitive models of memory retrieval aim to describe human learning and forgetting over time. Such models have been successfully applied in digital systems that aid in memorizing information by adapting to the needs of individual learners. The memory models used in these systems typically measure the accuracy and latency of typed retrieval...
conference paper 2023
document
Wang, Xiao Lin (author), Zhong, Yuanguang (author), Li, L. (author), Xie, Wei (author), Ye, Zhi Sheng (author)
Problem definition: Warranty reserves are funds used to fulfill future warranty obligations for a product. In this paper, we investigate the warranty reserve planning problem faced by a manufacturing firm who manages warranties for multiple products. Academic/practical relevance: It is nontrivial to determine a proper amount of reserves to...
journal article 2022
document
Baldi, S. (author), Zhang, Fan (author), Le, Quang Thuan (author), Endel, Petr (author), Holub, Ondrej (author)
In smart buildings, the models used for energy management and those used for maintenance scheduling differ in scope and structure: while the models for energy management describe continuous states (energy, temperature), the models used for maintenance scheduling describe only a few discrete states (healthy/faulty equipment, and fault typology...
journal article 2019
document
Di Lorenzo, Paolo (author), Banelli, Paolo (author), Isufi, E. (author), Barbarossa, Sergio (author), Leus, G.J.T. (author)
The goal of this paper is to propose novel strategies for adaptive learning of signals defined over graphs, which are observed over a (randomly) time-varying subset of vertices. We recast two classical adaptive algorithms in the graph signal processing framework, namely, the least mean squares (LMS) and the recursive least squares (RLS)...
journal article 2018
document
Fernando, M.S.D. (author)
Transitional countries face the challenge of balancing rapid and sustainable development. IT-industry is very important for sustainable development due to its penetration into many other industries. It is necessary that the IT knowledge force produced by the universities in those countries meet the demands of the IT-industry in terms of...
doctoral thesis 2010
Searched for: subject%3A%22Adaptive%255C+learning%22
(1 - 5 of 5)