Bayesian Information Criterion
Segmentation in singer turns with the Bayesian Information Criterion
... Figure 1: Illustration of segmentation in singer turns and the step of clustering. For a few years our team has worked on questions related to singing, in particular on the detection of singing [2] and on the ...
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Segmentation in singer turns with the Bayesian Information Criterion
... {thlithi, pellegrini, pinquier, obrecht}@irit.fr Abstract As part of a project on indexing ethno-musicological audio recordings, segmentation in singer turns automatically appeared to be essential. In this article, we ...
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Fast Identification of Optimal Fascicle Configurations from Standard Clinical Diffusion MRI Using Akaike Information Criterion
... tures of distributions and are thus well suited to model the voxelwise diffusion-induced molecular displacements. Exist- ing MCMs include the 47 models reviewed in [1] and Diffu- sion Directions Imaging [2]. The number ...
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A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables
... mutual information as a similarity measure in agglomerative hierarchical cluster- ing (AHC) raises an important issue: some correction needs to be applied for the dimension- ality of ...a Bayesian model ...
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A Bayesian Experimental Design Approach Maximizing Information Gain for Human-Computer Interaction
... experiment.” The Annals of Mathematical Statistics. pp.986-1005, 1956. [2] K. Chaloner & I. Verdinelli. “Bayesian experimental design: A review.” Statistical Science. pp.273-304, 1995. [3] J. Vanlier, C.A. ...
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Using a Financial Training Criterion Rather than a Prediction Criterion
... nancial criterion instead, the average excess return on the test period increased from ...nancial criterion (corrobo- rating the hypothesis that as far as the nancial criterion is concerned, the ...
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Molecular dating of phylogenies by likelihood methods : a comparison of models and a new information criterion
... The simulation study reported here considered that the input phylogenetic trees are correctly estimated. In reality this may not be always the case, but the goal here was to focus on some issues that have not been ...
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Individual Bayesian information matrix for predicting estimation error and shrinkage of individual parameters accounting for data below the limit of quantification: Bayesian information matrix accounting for data below LOQ
... maximum a posteriori (MAP), i.e., the mode of the posterior distribution. A good precision of individual parameter estimates is needed for screening covariate effect, for sequential PK/PD analysis, for individualized ...
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Amount of information needed for model choice in Approximate Bayesian Computation
... Approximate Bayesian Computation (ABC) has become a popular technique in evolutionary genetics for elucidating population structure and history due to its ...of information in the dataset, whether that be ...
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Bayesian approach integrating correlated foreign information into a multivariate genetic evaluation
... 1 University of Liege, Gembloux Agro-Bio Tech, Belgium 2 National Fund for Scientific Research, Brussels, Belgium... Introduction.[r] ...
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Aggregation of information and beliefs on prediction markets with non-bayesian traders
... the information is revealed at the equilibrium ...when information appears after the initial round of trade; as suggested by the no trade theorem demonstrated by Milgrom and Stokey ...pseudo- ...
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RFI mitigation: cyclostationary criterion
... Fig. 3. a) The current functionalities of the digital system are high dynamic range of 70 dB, bandwidth selection facil- ities ranging from 875 kHz to 14 MHz, high spectral resolu- tion through a polyphase filter bank ...
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A parametric Bayesian combination of local and regional information in flood frequency analysis.
... The application of th" method is made with the generalized extreme values tCgVl distribution, but it can be extended to other lypes of extreme value distributions' in this me[r] ...
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Direct visual servoing using ZNCC criterion
... visual information can be considered such as color invariant [3], a subspace computed from the image using a PCA approach [8], [18], the image gradient [17], the image entropy [6], Kernel information [13], ...
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Bayesian Game Theorists and non-Bayesian Players
... became Bayesian, but not the players in their ...of Bayesian game theory might be the consequence of the transformation of neoclassical economics towards a consistency (rather than maximisation) view of ...
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FREQUENT UNIVERSALITY CRITERION AND DENSITIES
... universality criterion and the frequent hypercyclicity criterion using the notion of A-densities, where A refers to some weighted densities sharper than the natural lower ...
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On Nicolas criterion for the Riemann Hypothesis
... YOUNGJU CHOIE, MICHEL PLANAT, AND PATRICK SOL´ E Abstract. Nicolas criterion for the Riemann Hypothesis is based on an inequality that Euler totient function must satisfy at primorial numbers. A natural approach ...
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On Robin’s criterion for the Riemann hypothesis
... Theorem 1.6. The RH holds iff for all integers n divisible by the fifth power of some prime we have σ(n) < e γ n log log n. The latter result has the charm of not involving a finite range of integers that has to be ...
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Communication as a criterion for defining regions
... The volume of communication in thousands of calls monthly is avail- able for each contiguous relationship as well as the number of telephone terminals in each exchange (an index o[r] ...
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Bayesian Morphology: Fast Unsupervised Bayesian Image Analysis
... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ...
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