Searched for: subject%3A%22learning%255C+techniques%22
(1 - 6 of 6)
document
Kola, I. (author), Tielman, M.L. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
Personal assistant agents have been developed to help people in their daily lives with tasks such as agenda management. In order to provide better support, they should not only model the user’s internal aspects, but also their social situation. Current research on social context tackles this by modelling the social aspects of a situation from...
conference paper 2021
document
Westrik, Lucas (author)
Over the recent years, flood risks and losses have been increasing for coastal cities due to climate change, subsidence, population and economic growth. Hong Kong and Macau are two cities located in the Pearl River Delta that experience a significant flood risk due to storm surges. The increased losses and risks has sparked interest around the...
master thesis 2020
document
de Groot, Olivier (author)
Free competition in the insurance markets increases the competitiveness and lowers the premiums. If insurers lower their premiums without having a model that accurately quantifies the expected claim size, they can be in serious trouble. This research aims to accurately model the premiums and quantify the uncertainty involved using historic...
master thesis 2017
document
Herrema, Floris Friso (author), Treve, V (author), Desart, B (author), Curran, R. (author), Visser, H.G. (author)
Accidents on the runway triggered the development and implementation of mitigation strategies. Therefore, the airline industry is moving toward proactive risk management, which aims to identify and predict risk percursors and to mitigate risks before accidents occur. For certain predictions Machine Learning techniques can be used. Although many...
conference paper 2017
document
Loutas, T. (author), Eleftheroglou, N. (author)
A prognostic framework is proposed in order to estimate the remaining useful life of composite materials under fatigue loading based on acoustic emission data and a sophisticated Non Homogenous Hidden Semi Markov Model. Bayesian neural networks are also utilized as an alternative machine learning technique for the non-linear regression task. A...
conference paper 2016
document
Baarslag, T. (author), Hendrikx, M.J.C. (author), Hindriks, K.V. (author), Jonker, C.M. (author)
A negotiation between agents is typically an incomplete information game, where the agents initially do not know their opponent’s preferences or strategy. This poses a challenge, as efficient and effective negotiation requires the bidding agent to take the other’s wishes and future behavior into account when deciding on a proposal. Therefore, in...
journal article 2015
Searched for: subject%3A%22learning%255C+techniques%22
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