Searched for: subject%3A%22information%255C+theory%22
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Hautelman, Alex (author)
Bayesian optimisation is a rapidly growing area of research that aims to identify the optimum of the black-box function, as it strategically directs the optimisation process towards promising regions. This paper provides an overview of the theoretical background used by the Entropy Search algorithms under study, mainly Predictive Entropy Search,...
bachelor thesis 2023
document
Vasilev, Kiril (author)
The data used in machine learning algorithms strongly influences the algorithms' capabilities. Feature selection techniques can choose a set of columns that meet a certain learning goal. There is a wide variety of feature selection methods, however, the ones we cover in this comparative analysis are part of the information-theoretical-based...
bachelor thesis 2023
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Boekee, D.E. (author)
book 1986
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Bernhard, M. (author)
“Frequency analysis of wood textures” presents the application of Fourier analysis to translate images of wood textures to the frequency domain. With this encoding, a lot more details can be captured by the same amount of data points than with other descriptions in the spatial domain. A small set of overlapping waves with different frequencies,...
conference paper 2013
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Sarkar, A. (author), Al-Ars, Z. (author), Bertels, K.L.M. (author)
In this research, we extend the universal reinforcement learning agent models of artificial general intelligence to quantum environments. The utility function of a classical exploratory stochastic Knowledge Seeking Agent, KL-KSA, is generalized to distance measures from quantum information theory on density matrices. Quantum process...
conference paper 2023
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Borchert, S. (author)
The main focus of video encoding in the past twenty years has been on video broadcasting. A video is captured and encoded by professional equipment and then watched on varying consumer devices. Consequently, the focus was to increase the quality and to keep down the decoder complexity. In more recent years we observe a shift in user behavior,...
doctoral thesis 2010
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Weijs, S.V. (author)
Operational management of water resources needs predictions of future behavior of water systems, to anticipate shortage or excess of water in a timely manner. Because the natural systems that are part of the hydrological cycle are complex, the predictions inevitably are subject to considerable uncertainty. Still, definitive decisions about e.g....
doctoral thesis 2011
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Doets, P.J.O. (author)
An audio fingerprint is a compact low-level representation of a multimedia signal. An audio fingerprint can be used to identify audio files or fragments in a reliable way. The use of audio fingerprints for identification consists of two phases. In the enrollment phase known content is fingerprinted, and ingested into a database, together with...
doctoral thesis 2010
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Goodenough, K.D. (author)
The research presented in this thesis focused on the problem of entanglement distribution. Simply put, the two main problems facing (practical) implementation of entanglement distribution over quantum networks are loss and noise. Quantum repeaters are meant to overcome the effects of loss, but in practice their implementation always comes at the...
doctoral thesis 2022
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Sarkar, A. (author)
Efforts to realize a sufficiently large controllable quantum processor are actively being pursued globally. These quantum devices are programmed by specifying the manipulation of quantum information via quantum algorithms. This doctoral research provides an application perspective to the design requirements of a quantum accelerator architecture....
doctoral thesis 2022
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Ng, N.H.Y. (author)
Thermodynamics is one of the main pillars of theoretical physics, and it has a special appeal of having wide applicability to a large variety of different physical systems. However, many assumptions in thermodynamics apply only to systems which are bulk material, i.e. consisting a large number of microscopic classical particles. Due to the...
doctoral thesis 2017
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van Erp, H.R.N. (author)
We present here a Bayesian framework of risk perception. This framework encompasses plausibility judgments, decision making, and question asking. Plausibility judgments are modeled by way of Bayesian probability theory, decision making is modeled by way of a Bayesian decision theory, and relevancy judgments are modeled by way of a Bayesian...
doctoral thesis 2017
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Ostergaard, J. (author), Zamir, R. (author)
journal article 2007
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Ostergaard, J. (author), Jensen, J. (author), Heusdens, R. (author)
journal article 2005
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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
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Sarkar, A. (author), Al-Ars, Z. (author), Bertels, K.L.M. (author)
Inferring algorithmic structure in data is essential for discovering causal generative models. In this research, we present a quantum computing framework using the circuit model, for estimating algorithmic information metrics. The canonical computation model of the Turing machine is restricted in time and space resources, to make the target...
journal article 2021
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Li, G. (author), Knoop, V.L. (author), van Lint, J.W.C. (author)
Accurate short-term traffic forecasting is the cornerstone for Intelligent Transportation Systems. In the past several decades, many models have been proposed to continuously improve the predictive accuracy. A key but unsolved question is whether there is a theoretical bound to the accuracy with which traffic can be predicted and whether that...
journal article 2022
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Kim, S.S.R. (author), Vossepoel, F.C. (author)
The particle filter is a data assimilation method based on importance sampling for state and parameter estimation. We apply a particle filter in two different quasi-static experiments with models of subsidence caused by a compacting reservoir. The first model considers uncorrelated model state variables and observations, with observed...
journal article 2024
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van Erp, H.R.N. (author), Linger, R.O. (author), van Gelder, P.H.A.J.M. (author)
In this paper, we will give the derivation of an inquiry calculus, or, equivalently, a Bayesian information theory. From simple ordering follow lattices, or, equivalently, algebras. Lattices admit a quantification, or, equivalently, algebras may be extended to calculi. The general rules of quantification are the sum and chain rules. Probability...
journal article 2017
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Dong, Thi Ngan (author), Mucke, Stefanie (author), Khosla, M. (author)
Growing evidence from recent studies implies that microRNAs or miRNAs could serve as biomarkers in various complex human diseases. Since wet-lab experiments for detecting miRNAs associated with a disease are expensive and time-consuming, machine learning techniques for miRNA-disease association prediction have attracted much attention in...
journal article 2022
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