1,721,085 research outputs found
Inference with the Unscented Kalman Filter and optimization of sigma points
We investigate the accuracy of inference in a chaotic dynamical system (Duffing oscillator) with the Unscented Kalman Filter and quantify the dependence on the sample size and the signal to noise ratio. In order to improve convergence to the true parameters in the case of a bad initialization of the algorithm, we optimize the location of sigma points with Bayesian optimisation
Inference with the Unscented Kalman Filter and optimization of sigma points for the Duffing process
Data related to applications in systems and synthetic biology
Details in the related publication: A Non-Homogeneous Dynamic Bayesian Network with Sequentially Coupled Interaction Parameters for Applications in Systems and Synthetic Biology Marco Grzegorczyk / Dirk Husmeier DOI: https://doi.org/10.1515/1544-6115.176
Statistical Inference in the Duffing System with the Unscented Kalman Filter
We investigate the accuracy of inference in a chaotic dynamical sys- tem (Duffing oscillator) with the Unscented Kalman Filter, and quantify the dependence on the sample size, the signal to noise ratio and the initialization
Inferring gene interactions with Bayesian networks
Introduction A central goal of molecular biology is to understand the regulatory interactions of gene transcription and protein synthesis. [1] proposed the application of Bayesian networks (BNs) to infer genetic interactions from microarray experiments. The main challenge for the inference procedure is that interactions between hundreds of genes have to be learned from sparse data (typically containing only about a dozen measurements). The inevitable consequence is that the posterior probability of network structures becomes vague, and it is the objective of the present work to experimentally quantify how much can be learned from the data. 2 Method and Results We use the model regulatory network proposed by [2], which is shown in Figure 1, left, and which contains several structures similar to those in the literature, like a hysteretic oscillator, a genetic switch, as well as a ligand binding mechanism that influences transcription. Most transcription factors dimerize before they a
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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