evidence synthesis using bayesian belief networks
audio to visual speech synthesis using artificial neural networks
... level, performance given the ANN synthesis falls significantly below TtS synthesis Overall, correct viseme identification was 72% for TtS synthesis and 46% for ANN synthesis The discrepancy between ... but the TtS synthesis supported much better speechreading than the ANN synthesis Figure shows the corresponding viseme performance Correct phoneme identification averaged 21% for TtS synthesis ... networks The remaining 10 seconds were used as a test set for the trained networks The restricted amount of training data avaliable from each speaker makes this data set a hard test for the networks...
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Mạng BAYESIAN BELIEF NETWORKS (BBNs) một số ứng dựng trong quản lý xây dựng
... william@dcs.qmul.ac.uk: Using Bayesian Networks to Model Accident Causation in the UK Railway Industry” [7] Neil, M and Fenton, N (1996): “Predicting software quality using Bayesian Belief Networks Proceeding ... wastewater treatment using Bayesian Belief Networks. ” Journal of Environmental Engineering 127(4) (2001) [2] Murphy, K (2001): “ A brief introduction to graphical models and Bayesian Networks
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Thuyết trình KHAI PHÁ DỮ LIỆU – DATA MINING Naïve Bayes and Bayesian belief networks
... z-estimation theo công thức Trang Mạng Bayes 3.1 Giới thiệu Bayesian Belief Networks (BBNs) gọi Bayesian Networks (BNs) hay Belief Networks (BNs) phát triển vào cuối năm 1970s Đại học Stanford ... không chắn tính phức tạp, ứng dụng rộng rãi toán học kỹ thuật Trained Bayesian belief networks sử dụng phân lớp liệu Một Belief Networks xác định hai thành phần: Đồ thị có hướng, không tuần hoàn ... thuyết xác suất có điều kiện hay gọi lý thuyết Bayes (Bayesian theory, hay Bayes’ theory) Chính thế, kỹ thuật có tên gọi Bayesian Belief Networks (BBNs) BBNs dạng biểu đồ ảnh hưởng (influence...
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Tài liệu Modelling the e®ects of air pollution on health using Bayesian Dynamic Generalised Linear Models pdf
... parametrically using regression splines, the model is linear, where as non-parametric estimation using smoothing splines, leads to an additive model In this paper we investigate the efficacy of using Bayesian ... analysis of air pollution and health data using DGLMs, and they implement their model in a likelihood framework using the Kalman filter In this paper we present a Bayesian analysis based on Markov chain ... Modelling the effects of air pollution on health using Bayesian Dynamic Generalised Linear Models Duncan Lee1 and Gavin Shaddick2 November 7, 2007 University...
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04 - collaborative spam filtering using e-mail networks
... such networks topological properties to create a collaborative spam-filtering system that meets the challenges of performance, scalability, and trust A major advantage of using social e-mail networks ... E-MAIL NETWORKS search protocol used scoped broadcast mechanisms to A recent study4 proposed an attractive algorithm for discover content, which scales as O(N) Since then, using personal e-mail networks ... research focuses on general complex networks, in particular P2P network design, and structural analysis of complex networks and their application in social and biological networks Rezaei received an...
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Event Modeling and Recognition using Markov Logic Networks ? ppt
... domain Event Modeling and Recognition using Markov Logic Networks knowledge A continuous bi-lattice was used in [6] for human detection Here, instead of using a multi-valued logic, we use a combination ... example, the conclusion that ¬a is true using the CWA until all possible ways of deducing a have been tried Event Modeling and Recognition using Markov Logic Networks Context-dependent Preconditions ... et al presented an elegant treatment for representing activities using declarative models Recognition was performed effectively using a constraint-satisfaction algorithm In [5], Shet et al used...
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Báo cáo khoa học: "Constituent Parsing with Incremental Sigmoid Belief Networks" ppt
... approximate distribution Q(H|V ) and the true distribution P (H|V ): Sigmoid Belief Networks A belief network, or a Bayesian network, is a directed acyclic graph which encodes statistical dependencies ... describe our modification of the mean field method in section 3.3 2.2 Dynamics Dynamic Bayesian networks are Bayesian networks applied to arbitrarily long sequences A new set of variables is instantiated ... parsing based on dynamic Sigmoid Belief Networks with vectors of latent variables Exact inference with the proposed graphical model (called Incremental Sigmoid Belief Networks) is not tractable, but...
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Báo cáo khoa học: "Learning to “Read Between the Lines” using Bayesian Logic Programs" pptx
... P(head(c)|body(c)) A Bayesian predicate is a predicate with a finite domain, and each ground atom for a Bayesian predicate represents a random variable Associated with each Bayesian predicate is ... which we backchain We then construct a ground Bayesian network using the resulting deductive proofs for all target relations and learned parameters using the standard approach described in Section ... nets) Formally, a BLP consists of a set of Bayesian clauses, definite clauses of the form a|a1 , a2 , a3 , .an , where n ≥ and a, a1 , a2 , a3 , ,an are Bayesian predicates (defined below), and where...
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vehicle signal analysis using artificial neural networks
... South Weight measuring A4~A6 Bound Axle detection S1~S8 2.3 Experimental Test Using Test Trucks Experimental trials using test trucks which were statically measured their axle and gross weights ... 3-, 4-, and 5-axle trucks were constructed and trained using random vehicles’ data When training was completed, the validation test followed using the remaining data that were not used for training ... however the accuracy decreased for individual axle weights [10] The application of artificial neural networks (ANN) to the B-WIM was attempted in 2003 by Gonzalez et al for noise removal and calibration...
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large pattern recognition system using multi neural networks - codeproject
... instead of using a unique big network we can use multi smaller networks which have very high recognition rate to these own output sets Beside the official output sets (digit, letters…) these networks ... output Figure 4: Recognition System using multi neural networks This solution overcomes almost limits of the traditional model The new system includes a several small networks which are simple for ... small networks takes less time than a huge network Especially, the new model is really flexible and expandable Depending on the requirement we can load one or more networks; we can also add new networks...
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rendering for beginners image synthesis using renderman
... images using a renderer Figure 1.2 Three routes to image synthesis Think of how you as an artist would render a scene in front of you Imagine that you would like to paint a pretty landscape, using ... 8.9 8.10 8.11 8.12 Shading 261 264 273 280 285 315 320 329 333 336 344 352 Introduction Using light shaders Using other shaders The RenderMan Shading Language (RSL) Surface shaders Displacement ... describes a simple “scene” The overall idea is # to encode a scene using RIB and then hand it to RenderMan to # create an image using it teapot.rib # Author: Scott Iverson ...
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human genome epidemiology 2nd edition building the evidence for using genetic information to improve health and prevent disease jan 2010
... gene-environment interaction? T2 Health application to evidence- based practice guidelines Phase clinical trials; observational studies; evidence synthesis and guidelines development What are the positive ... Library of Congress Cataloging-in-Publication Data Human genome epidemiology : building the evidence for using genetic information to improve health and prevent disease / edited by Muin J Khoury ... associations v vi Preface (Chapter 10), evolving methods for integrating the evidence (Chapter 11) as well as assessment of cumulative evidence and field synopses (Chapter 12) In Part III, we provide several...
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báo cáo hóa học: " Simulator sickness when performing gaze shifts within a wide field of view optic flow environment: preliminary evidence for using virtual reality in vestibular rehabilitation" pptx
... and confusing visual stimuli Consequently, VR could allow persons with vestibular disorders to experience graded exposure to symptom-provoking situations in a controlled environment Using VR ... discomfort, fatigue, headache, eyestrain, difficulty focusing, difficulty concentrating, blurred vision), and disorientation (difficulty focusing, nausea, head fullness, blurred vision, dizzy: eyes ... horizontal and vertical eye movements were measured using video-oculography (VOG, Figure 3) The VOG device (Micromedical, Chatham, IL) was fastened using an adjustable helmet insert and contained...
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Báo cáo hóa học: " Research Article A Sparsity-Based Approach to 3D Binaural Sound Synthesis Using Time-Frequency Array Processing" ppt
... conclusions of this work are summarized Binaural Sound Synthesis 2.1 Multisource Binaural Sound Synthesis It is widely known that binaural sound synthesis is a technique capable of reproducing a virtual ... to the time domain using the inverse STFT operator following an overlap-add scheme Using the above approach, the microphone signal Xm (k, r) provides a pressure signal for the synthesis of the ... experiments proposed synthesis method is only slightly degraded from the obtained using the acoustic dummy-head Conclusion In this paper, we have presented a two-step binaural sound synthesis method...
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Báo cáo hóa học: " Research Article Indoor Positioning Using Nonparametric Belief Propagation Based on Spanning Trees" pdf
... represent the local evidence The BP algorithm can be considered of as a way of communicating local evidences between nodes such that all nodes compute their beliefs given all the evidence In order ... 2.2.4 Nonparametric Belief Propagation Due to the reasons explained in Section 1, we use the NBP method Thus, the belief and message update equations, (9) and (10), are performed using particle-based ... ({Wt , Xt }) from i the belief Mt (xt ), then using these particles to approximate each outgoing message mitu j,i j,i Given N weighted particles {Wt , Xt } from the belief i Mt (xt ) obtained...
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báo cáo hóa học:" Research Article CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory" potx
... detection is achieved without this prior information A Bayesian optimum radar detector (BORD) has been reported [14] as one application of CFAR to Bayesian theory However, the BORD is a coherent radar ... the power are estimated by the Bayesian With these estimated values, the proposed CFAR detection is formulated The following explains the estimated values by the Bayesian theory and provides the ... from the data in the reference cells The Bayesian theory is also applied for the estimation The estimated clutter denoted as C is given as the mean of the Bayesian predictive density function (MBPDF)...
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Báo cáo hóa học: " Research Article Collaborative Area Monitoring Using Wireless Sensor Networks with Stationary and Mobile Nodes" docx
... physical world with pervasive networks, ” IEEE Pervasive Computing, vol 1, no 1, pp 59–69, 2002 [3] M P Michaelides and C G Panayiotou, “Event detection using sensor networks, ” in Proceedings of ... simulation results using various sensor fields with randomly deployed sensor nodes Section reviews related work in two research fields, the area coverage for both stationary and mobile sensor networks and ... mobile sensors using the distributed TS algorithm, have the minimum overlap (almost zero) compared to the other algorithms Next we compare the average performance of each algorithm using Monte Carlo...
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Báo cáo hóa học: " Research Article Pose-Encoded Spherical Harmonics for Face Recognition and Synthesis Using a Single Image" docx
... presented an efficient face synthesis and recognition method to handle arbitrary pose and illumination from a single training image per subject using pose-encoded spherical harmonics Using a prebuilt 3D ... view To summarize, we propose an efficient face synthesis and recognition method that needs only one single training image per subject for novel view synthesis and robust recognition of faces under ... researchers have proposed several methods The synthesis method in [17] can handle both illumination and pose variations by reconstructing the face surface using the illumination cone method under...
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Báo cáo vật lý: "SIMULTANEOUS SPECTROPHOTOMETRIC DETERMINATION OF Pb(II) AND Cd(II) USING ARTIFICIAL NEURAL NETWORKS" potx
... some complex mixture using 4-(2pyridylazo)-resorcinol (PAR), which is a popular reagent in spectrophotometric determination of different metal ion such as Pb(II) and Cd(II) using ANN EXPERIMENTAL ... Zupan, J & Gasteiger, J (1993) Neural networks for chemists: An introduction Weinheim: VCH Publishers Cirovic, D.A (1997) Feed-forward artificial neural networks: Applications to spectroscopy ... Determination of Pb(II) and Cd(II) data i.e., other absorbance intensities were introduced to the networks to check for its prediction capability and precision Table 1: The general setting of the...
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Báo cáo khoa hoc:" Comparison between estimation of breeding values and fixed effects using Bayesian and empirical BLUP estimation under selection on parents and missing " doc
... 8.87 18 Bayesian versus empirical BLUP estimation 55 56 F.S Schenkel et al using EBLUP, which assumes the h2 known and gives 100% weight to an estimate of this h2 In this study, however, Bayesian ... the effects of non-random selection on the parents (using phenotypic records or BLUP of breeding values) on the sampling properties of EBLUP and Bayesian estimates of breeding values assuming models ... Boldman et al [1] The starting values of the variances were the true simulation values 2.2.1 Bayesian analyses Bayesian estimates were obtained via Gibbs sampling following Wang et al [22] and Van Tassel...
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