exploring bayesian belief networks using netica®
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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Báo cáo hóa học: " Research Article Calibrating Distributed Camera Networks Using Belief Propagation" pptx
... of parameters of interest For networks without cycles, inferences (or beliefs) obtained using BP are known to converge to the correct densities [7] However, for networks with cycles, BP might ... camera networks discussed in Section Recently, the sensor networking community has seen a renewed interest in message-passing schemes on graphical networks with arbitrary topologies, such as belief ... 3D structure points are obtained using back-projection and triangulation of corresponding feature points [28] CONCLUSIONS We demonstrated the viability of using belief propagation to obtain the...
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Báo cáo y học: "Construction of Gene Regulatory Networks using biclustering and Bayesian networks" docx
... biclustering networks that have learned using Bayesian networks [29] A performance comparison of networks generated from learning corresponding biclustering algorithms using the Bayesian networks ... Bivisu, networks are greater using the LASSO method than with the Bayesian networks method • The performances of the ISA, SAMBA and K-means, networks are lower using the LASSO method than with the Bayesian ... biclustering networks) , OPSM [23] and Bivisu [32] networks are greater using the LASSO method than the Bayesian networks method; and the performances of the ISA [31], SAMBA [43] and K-means, networks...
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WDM Optical Switching Networks Using Sparse Crossbars Yuanyuan Yang Department of Electrical &
... connected to the three inputs B Sparse WDM Switching Networks Using Concentrators B.1 Construction of Sparse WDM Switching Networks We now consider using concentrators in a single stage WDM optical ... shown in Fig 2, where WDM switching networks are used as crossconnects (nodes) in a wide area network (WAN), and the input (output) fiber links of WDM switching networks are links in the WAN Thus, ... optical switching network using a single stage sparse crossbar under the wavelengthbased model and under the fiber-link-based model However, it does make differences when using a multistage crossconnect...
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Báo cáo khoa học: Systematic quantification of complex metabolic flux networks using stable isotopes and mass spectrometry pptx
... from the mass isotopomer fractions of biomass hydrolysates Various other networks were analyzed in subsequent studies using the same method [17–19] In the present paper we expand on the idea ... physiological studies (see Discussion) Flux quantification using MS measurements (3) Mass isotopomer distribution analysis was performed using only 61 measurements out of the set depicted in Table ... analysis of undetermined metabolic networks: the quest for the missing constraints TIBTECH 15, 308–314 Klapa, M.I (2001) High resolution metabolic flux quantification using stable isotopes and mass...
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Báo cáo khoa học: Antibody-based proteomics Analysis of signaling networks using reverse protein arrays pdf
... Analysis of signaling networks using protein arrays H Voshol et al a contextual understanding of the molecular mechanisms ... components can be measured using anti-phosphoprotein Igs that specifically recognize their phosphorylated isoforms Thus, the activity status of multiple signaling pathways or networks can be probed ... are currently the best practical translation of ‘physiology’ because Analysis of signaling networks using protein arrays they allow a sufficient level of granularity while integrating the basic...
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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 hóa học: "Energy consumption and lifetime analysis in clustered multi-hop wireless sensor networks using the probabilistic cluster-head selection method" pdf
... http://jwcn.eurasipjournals.com/content/2011/1/156 energy model for clustered multi-hop WSNs using a probabilistic cluster-head selection method Using this model, we have determined the optimal number of clusters in ... wireless microsensor networks IEEE Trans Wireless Commun 1(4), 660–670 (2002) doi:10.1109/TWC.2002.804190 S Hang, Z Xi, Network lifetime optimization for heterogeneous sensor networks with mixed ... wireless sensor networks, in Proceedings of IEEE CISS, Princeton University, USA, 99–104 (March 2006) W Li, L Shen, Optimal cluster number determination for clustered wireless sensor networks, in...
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Báo cáo hóa học: " Research Article Trade-Offs between Energy Saving and Reliability in Low Duty Cycle Wireless Sensor Networks Using a Packet Splitting Forwarding Technique" docx
... for wireless sensor networks, ” Wireless Networks, vol 12, no 1, pp 63–78, 2006 [4] T van Dam and K Langendoen, “An adaptive energy-efficient MAC protocol for wireless sensor networks, ” in Proceedings ... “ReInForM: reliable information forwarding using multiple paths in sensor networks, ” in Proceedings of the 28th Annual IEEE Conference on Local Computer Networks (LCN ’03), Bonn, Germany, October ... procedure are reported in [1] We show below how nodes can be synchronized using the same IMs seen above It is worth mentioning that, using the proposed CRTbased scheme, a perfect synchronization among...
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Báo cáo hóa học: "Research Article Minimizing Detection Probability Routing in Ad Hoc Networks Using Directional Antennas" pptx
... This is another reason for using directional antennas Authors of [14, 15] described the advantages of using directional antennas to reduce power consumption in ad hoc networks As directional antennas ... consumption and throughput in mobile ad hoc networks using directional antennas,” in Proceedings of the 11th International Conference on Computer Communications and Networks (IC3N ’02), October 2002 [16] ... November 2002 [6] A Spyropoulos and C S Raghavendra, “Energy efficient communications in ad hoc networks using directional antennas,” in Proceedings of the 21st Annual Joint Conference of the IEEE...
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Báo cáo hóa học: "Research Article Asymptotic Analysis of Large Cooperative Relay Networks Using Random Matrix Theory" pptx
... distributions related to capacity and to analyze their moments in the asymptote of large wireless networks Using this approach, we derive a performance upper bound, we analyze the performance in the ... 4, we analyze the asymptotic performance and construct an upper bound for cooperative relay networks using random matrix theory Some special cases are analyzed in Section 5, and simulation results ... Husheng Li et al p ANALYSIS USING RANDOM MATRIX THEORY It is difficult to obtain a closed-form expression for the asymptotic average capacity Cavg in (13) In this section, using the theory of random...
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Báo cáo hóa học: " Research Article Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method" pot
... distance based geographic location techniques in sensor networks, ” in Proceedings of the 3rd International Conference on Ad-Hoc, Mobile, and Wireless Networks (ADHOC-NOW ’04), vol 3158 of Lecture Notes ... Laurendeau and M Barbeau, “Insider attack attribution using signal strength based hyperbolic location estimation,” Security and Communication Networks, vol 1, no 4, pp 337– 349, 2008 [13] B Sterzbach, ... wireless networks, ” Tech Rep TR1297, Department of Computer Science, Yale University, July 2004 [15] B.-C Liu, K.-H Lin, and J.-C Wu, “Analysis of hyperbolic and circular positioning algorithms using...
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Báo cáo hóa học: " Research Article A QoS-Aware Mesh Protocol for Future Home Networks Using Autonomic Architecture" pot
... 3, an analysis of routing metrics in mesh networks is presented In Section 4, we introduce a QoS-aware routing protocol for mesh networks in future home networks Simulation results are finally presented ... protocol (Section 2.3) Wireless mesh networks (WMNs) are self-configuring and self-organizing networks, which makes them very suitable option for autonomic home networks We thus propose to base our ... Architecture overview ROUTING METRICS IN WIRELESS MESH NETWORKS Selecting a good path is considerably harder in wireless networks than in traditional wired networks (where the routing problem is usually...
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Báo cáo hóa học: " Research Article On Coverage and Capacity for Disaster Area Wireless Networks Using Mobile Relays" docx
... organized as follows In Section 2, related work on disaster area networks, mobility model, and base station placement in wireless networks is summarized In Section 3, we describe the mobility model ... placement problem in wireless sensor networks In [17], a multiobjective metric is proposed for placing multiple base stations at the optimal positions in wireless sensor networks, including coverage, ... disaster area As a conclusion, we advocate using the greedy algorithms to determine the dynamic relay placement in the deployment of disaster area wireless networks, in which real-time computation...
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Báo cáo hóa học: " Research Article Inference of Boolean Networks Using Sensitivity Regularization" pptx
... of Boolean networks as models of genetic regulatory networks Boolean networks and the more general class of probabilistic Boolean networks are popular approaches for modeling genetic networks, ... ground-truth networks [49] In our case, we have chosen the normalized statetransition error as the distance between the networks First, we investigate the performance of the new method on networks ... regulatory networks, ” Bioinformatics, vol 18, no 2, pp 261–274, 2002 [21] I Shmulevich, E R Dougherty, and W Zhang, “From Boolean to probabilistic Boolean networks as models of genetic regulatory networks, ”...
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Báo cáo hóa học: " Research Article TCP Traffic Control Evaluation and Reduction over Wireless Networks Using Parallel Sequential Decoding Mechanism" pptx
... necessary step to be accomplished at the data link layer especially in wireless networks Convolutional decoding [7] using sequential decoding [8, 9] algorithms is an error detection and correction ... stop-and-wait ARQ when the network is congested In wireless networks, the damage (packet error rate (PER)) is much larger than in wired networks Therefore, the decoding time is much larger Consequently, ... decoders is implemented using Pthreads API package under a symmetric multiprocessors (SMPs) system with processors Our both simulators are based on stochastic modeling by using discrete-time Markov...
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Báo cáo hóa học: " Research Article Power-Efficient Relay Selection in Cooperative Networks Using Decentralized Distributed Space-Time Block Coding" pptx
... the m-group Dis-STBC, the asymptotic upper bound on pout,d when using the local-kbest strategy is smaller than or equal to that when using the all-select strategy Proof With a given power consumption ... hop-by-hop local-k-best routing is formulated When using the local-k-best routing strategy, the achieved diversity gain at each relaying hop is the same as using the all-select routing strategy; however, ... relaying hop n, the asymptotic upper bound on pout,n when using the local-k-best routing strategy is smaller than or equal to that when using the all-select routing strategy The proof of Theorem...
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Báo cáo hóa học: " Energy Efficient AODV Routing in CDMA Ad Hoc Networks Using Beamforming" potx
... hop routing for CDMA ad hoc mobile networks using omnidirectional antennas (II) Proposed AODV with energy as routing metric for CDMA ad hoc mobile networks using omnidirectional antennas (III) ... minimum hop routing for CDMA ad hoc mobile networks using directional antennas (IV) Proposed AODV with energy as routing metric for CDMA ad hoc mobile networks using directional antennas For the numerical ... metric CDMA with hops metric using directional antenna CDMA with energy metric using directional antenna CDMA with hops metric CDMA with energy metric CDMA with hops metric using directional antenna...
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Báo cáo hóa học: " Research Article Determining Vision Graphs for Distributed Camera Networks Using Feature Digests" pptx
... (these points are called the “nucleus”), using a projective factorization method [31] (2) Estimate a metric reconstruction from the projective cameras, using a method based on the dual absolute ... network using a set of 60 widely separated images acquired from a Canon PowerShot G5 digital camera in autofocus mode (so that the focal length for each camera is different and unknown), using an ... Radke, “Distributed metric calibration for large-scale camera networks, ” in Proceedings of the 1st Workshop on Broadband Advanced Sensor Networks 10 [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]...
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