Searched for:
(1 - 4 of 4)
document
Weijs, S.V. (author), Schoups, G. (author), Van de Giesen, N. (author)
journal article 2010
document
Weijs, S.V. (author), Van de Giesen, N. (author), Parlange, M.B. (author)
When inferring models from hydrological data or calibrating hydrological models, we might be interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) information theory (AIT) to discuss some underlying issues regarding this question. In...
journal article 2013
document
Weijs, S.V. (author), Van de Giesen, N. (author), Parlange, M.B. (author)
From algorithmic information theory, which connects the information content of a data set to the shortest computer program that can produce it, it is known that there are strong analogies between compression, knowledge, inference and prediction. The more we know about a data generating process, the better we can predict and compress the data. A...
journal article 2013
document
Weijs, S.V. (author), Van de Giesen, N.C. (author), Parlange, M.B. (author)
When inferring models from hydrological data or calibrating hydrological models, we are interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) information theory, (A)IT, to discuss some underlying issues regarding this question. In the...
journal article 2013
Searched for:
(1 - 4 of 4)