1,769,934 research outputs found
sj-pdf-1-inv-10.1177_15569845241245422 – Supplemental material for Robot-Assisted MIDCAB Using Bilateral Internal Thoracic Artery: A Propensity Score–Matched Study With OPCAB Patients
No full textSupplemental material, sj-pdf-1-inv-10.1177_15569845241245422 for Robot-Assisted MIDCAB Using Bilateral Internal Thoracic Artery: A Propensity Score–Matched Study With OPCAB Patients by Michiel Algoet, Tom Verbelen, Steven Jacobs, Herbert De Praetere, Michiel Marynissen and Wouter Oosterlinck in Innovations</p
v. Tilborgh (Cyriel Van).
No full textAntwerpen, Deventer ; Kluwer ; 1984Marketing van diensten. Een handboek I voor praktisch management. /Door/ CyrielVan Tilborgh & Wouter FaasAdIII4
War, Inflation, Monetary Reform and the Art Market
No full textDuring World War II, the art market experienced a massive boom in occupied countries. The discretion, the inflation proof character, the absence of market intervention and the possibility to resell artworks abroad have been suggested to explain why investing in artworks was one of the most interesting opportunities under the German boot. On basis of an original database of close to 4000 artworks sold between 1944 and 1951 at Giroux, one of the most important Art Gallery in Brussels, this paper analyzes, the price movements on the Belgian art market following the liberation. Market reactions following the war are used to understand which motivations played the most important role in investorsÕ decisions. Prices on the art market experienced a massive drop. This huge price decline is attributed to two elements: fear of prosecution for war profits and the monetary reforms set into place in October 1944.Art market, Art Investment, WWII, Belgium, Post-war, Monetary reforms
Wouter Keesing's notes on Fats Domino recording sessions, undated
No full textUndated notes written by Wouter Keesing, a researcher of and authority on Fats Domino, related to content recorded during various recording sessions from 1953 to 1962
Digging through the dirt: a general method for abstract discrete state estimation with limited prior knowledge
No full textAutonomous robots are often successfully deployed in controlled environments. Operation in uncontrolled situations remains challenging; it is hypothesized that the detection of abstract discrete states (ADS) can improve operation in these circumstances. ADS are high-level system states that are not directly detectable and influence system dynamics. An example of a typical ADS problem that is used in this thesis is that of a wheeled robot driving through puddles of mud that, when entered, alters the velocity of the robot. When the robot is in such a puddle, it is in an ADS 'mud', and when it is not, it is in an ADS 'free'. ADS can be indirectly inferred through the analysis of lower-level data such as the velocity of the robot. The goal of this thesis is to design a general abstract discrete state estimator (ADSE) operating with limited prior knowledge. An ADSE is a hierarchical system for detecting changes in ADS. The ADSE should be general; applicable to multiple ADSE problems. The ADSE should further operate under limited prior knowledge: only assuming that the amount of ADS and the ADS that describes the regular operation are known. The basis for the ADSE designed in this thesis is a Gaussian hidden Markov model (GHMM), a hidden Markov model enhanced with Gaussian emissions. Randomly generated experiments are done on a simple but general ADSE problem. Two unsupervised learning methods derived from Expectation Maximization are evaluated, namely Baum-Welch (BW) and forward extraction (FWE). FWE is introduced in this thesis and is a simpler implementation of Viterbi extraction, leveraging assumptions of ADSE to in theory gain computational efficiency. We found that both BW and FWE exhibit superior performance compared to a likelihood-based baseline estimator when the maximum score of the learning curve is considered. When the final score is considered, in some cases, FWE displays a deteriorating learning curve, resulting in worse final scores compared to the baseline. Furthermore, it was found that the lower the overlap coefficient (therefore the less similar the ADS), the higher the maximum reached score. It was further shown that BW exhibits better convergence than FWE to the true model parameters. Besides this, FWE obtained comparable or in some cases even superior scores compared to BW. In general, from the results, the diversity of the experiments conducted, and the assumptions made we can conclude that the GHMM can be a general method for an ADSE with limited prior knowledge. To quantify the suitability of the GHMM for ADSE, further research should include the evaluation of different ADSE methods on the same problem. There exists a tradeoff between the lower computational cost FWE and the more stable but more computationally intensive BW learning. Therefore, future research can include a combination of these methods. Other extensions include extending the GHMM to a Gaussian mixture hidden Markov model to allow for the modeling of more complex distributions, or the application to multiple states or a changing environment.https://github.com/Wouter-deBoer/adseMechanical Engineering | Vehicle Engineering | Cognitive Robotic
Crainquebille and the law's inflexible precepts
No full textIn dit commentaar gaat rechtsfilosoof Wouter Veraart nader in op de juridische en filosofische betekenis van het verhaal Crainquebille van de Franse schrijver Anatole France (1844-1924), het verband met de Dreyfus-affaire en ‘de goede rechter’ Paul Magnaud, en op de actualiteit van dit verhaal
Digital Sports:Interview met Wouter de Groot
No full textDe digitale wereld is niet meer weg te denken in de wereld van onze kinderen. Welke kansen biedt de digitale wereld voor LO? Welke behoefte is er in het werkveld? Wat werkt wel en niet? Op het Instituut voor Sportstudies aan de Hanzehogeschool in Groningen verkennen sportstudenten en bachelor techniekstudenten samen met het werkveld de digitale mogelijkheden voor LO. Wouter de Groot vertelt over hun multidisciplinaire aanpak
wouter-swierstra/predicate-transformers: ICFP Code
No full text<p>This release contains the code automatically extracted from our 2019 ICFP paper.</p>
The Wouter Keesing Collection on Fats Domino and New Orleans R&B
No full textThe Wouter Keesing Collection on Fats Domino and New Orleans R&B is a record group within the Hugo Keesing Collection on Popular Music and Culture. This record group includes realia, ephemera, recordings, magazines, books, newspaper clippings, and personal/tour material on Fats Domino, as well as Imperial Records, Smiley Lewis, New Orleans Jazz and R&B, and the research materials of Wouter Keesing. Any magazines or periodicals included in this collection will contain articles on Fats Domino, Imperial Records, and related artists. The series contains clipped articles and notes on material by John Broven, Rick Coleman, Michel Ruppli, and Jeff Hannusch (a.k.a. Almost Slim). Wouter Keesing's records also contain limited materials on Vietnam War recordings
Digital Sports:Interview met Wouter de Groot
No full textDe digitale wereld is niet meer weg te denken in de wereld van onze kinderen. Welke kansen biedt de digitale wereld voor LO? Welke behoefte is er in het werkveld? Wat werkt wel en niet? Op het Instituut voor Sportstudies aan de Hanzehogeschool in Groningen verkennen sportstudenten en bachelor techniekstudenten samen met het werkveld de digitale mogelijkheden voor LO. Wouter de Groot vertelt over hun multidisciplinaire aanpak
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