... group network behavior into modules for dynamicmodeling have been successful [13] Others have attempted dynamicmodeling of whole microarray data sets using differential equation models to derive ... p53 to the cytoplasm [25] interactions Figure Hidden variable dynamicmodeling screening of upregulated genes Hidden variable dynamicmodeling screening of upregulated genes Model predicted profile ... known to be p53 regulated (Table 1) refereed research Prediction of p53 targets using hidden variable dynamicmodeling inversely related to P values (see Materials and methods, below) deposited...
... data - but the technique is heuristic with arbitrary parameter thresholds and little systematic modeling Multivariate regression analysis was presented by Bussemaker and coworkers [7] to infer ... and their regulators This probabilistic model reflected nonlinear properties but required prior clustering of the expression data Classification of target genes by COGRIM versus ChIP binding data ... probabilistic approach achieves a principled balance for the contributions of each data source to the modeling process without requiring predetermined thresholds or clusters In addition, our model allows...
... function The crankshaft has the following dimensions: Step 1: Create a 1.25 in diameter cylinder using FRONT datum plane as sketching plane The extrusion depth is 0.5 in Note that the center of...
... models, respectively and Model S indicates the dynamic model selection approach “G over D” shows how often Model G is selected over Model D using the dynamic selection (in %) Model S Stanford SVMTool ... The dynamic model selection approach (Model S) shows the most robust results across genres, although Models D and G still can perform Some semi-supervised and domain-adaptation approaches using ... generalized and domain-specific models using document frequency Consider training data as a collection of documents where each document contains sentences focusing on a similar topic For instance,...
... multiple clustering results (Fred and Jain, 2002) The second method constructs new vectors for each instance data using multiple clustering results (Strehl and Ghosh, 2002) Both methods apply the clustering ... our ensemble method Any number is available for each clustering Experience shows that the ensemble clusteringusing k-means succeeds when each clustering has many clusters, and they are combined ... results using random initialization, and selected the cluster1 We used the clustering toolkit CLUTO for clustering the hypergraph 79 Î Conclusion This paper proposed a new ensemble document clustering...
... dynamics of health and SES causation are not explored Using a similar strategy to test for causal wealth-health effects, Meer et al (2003) use three 5-year spaced observations from the PSID, using ... health on household wealth, using the constructed health index which incorporates all features of health Table 13 shows the results of a similar dynamic panel data model using separate indicators ... socioeconomic status using panel data on an elderly US cohort One follows the methodology of Adams et al (2003) based upon Granger causality The second is an extension of this using a dynamic panel...
... co-occurrence with the language modeling framework for IR In our approach, we propose bigram and biterm models to capture the term dependence in centroid vector Applying language modeling for the QA task ... because they not affect λ λ can be estimated using EM iterative procedure: 1) Initialize λ to a random estimate between and 1, i.e., 0.5; 2) Update λ using: λ ( r +1) = l | INS | λ ( r ) P (t i( ... Every question is scored using nugget recall (NR) and an approximation to nugget precision (NP) based on answer length The final score for a definition response is computed using F-Measure In TREC...
... 0.04 0.05 The clustering obtained by the two algorithms (K-means with high-dimensional embedding and fuzzy clustering) were compared to the classification made by the human expert As clustering induces ... narrative) g Di g fj Dij = j Fuzzy clustering − ∆g (4) Secondly, the same algorithm which was used in a previous work (Cocco et al., 2011) was applied here, i.e the fuzzy clustering algorithm In brief, ... 0.30 Figure 12: “Le Voleur” with fuzzy clustering algorithm: Jacccard index as a function of relative temperature 0.30 0.5 Figure 10: “Le Voleur” with fuzzy clustering algorithm: corrected Rand...
... case, the modeling is traditionally done by the classical innovations representation [19], while, in the non-Gaussian case, the modeling could be done by such well-known statistical modeling techniques ... latter to arbitrary shift dynamics T : Ω → Ω with invariant measure μ, it is convenient to use Markov partitioning Ω = i Ai , so as to reduce the problem to symbolic dynamics However, even after ... 1992 [54] W E Larimore, “Identification and filtering of nonlinear systems using canonical variate analysis,” in Nonlinear Modeling and Forecasting, vol 12 of SFI Studies in the Sciences of Complexity,...
... 86435 printer: Sheridan May 11, 2007 DYNAMICMODELING AND CONTROL OF ENGINEERING SYSTEMS THIRD EDITION This textbook is ideal for a course in Engineering System Dynamics and Controls The work is ... his research in dynamic systems and controls led to publications in diverse fields from railroad freight car dynamics to adaptive control of artificial hearts He pursues research in modeling and control ... automatic control systems, computer simulations and control of industrial processes, systems dynamics, vehicle–road dynamic interaction, and transportation systems His fuzzy-logic algorithm for avoiding...
... training action using DTW to result the value of similarity between to actions Table 2: Predefined active joint angles Index Time D 9 15 15 16 Let T= ti ,d Action Recognition UsingDynamic Time ... presented in Table It can be seen in the Table that the computation times of using TVRF and OBRF are shorter than those of using CF It is resulted from the small size of feature matrix in TVRF and ... Accurate Dynamic Time Warping in Linear Time and Space”, KDD Workshop in Mining Temporal and Sequential Data, 2004, pp 70-80 M Reyes, G Dominguez and S Escalera, “Feature Weighting in Dynamic...
... 303 8.1.1 Numerical Modeling of Skid Resistance on Porous Pavement 304 8.1.2 Influencing Factors of Skid Resistance on Porous Pavement 305 8.1.3 Numerical Modeling of Tire/Road Noise ... procedure for elasto-hydrodynamic lubrication 93 Figure 2.2 Three-zone model for sliding tire on wetted pavement 93 Figure 2.3 British pendulum tester 94 Figure 2.4 Dynamic friction tester ... technologies using asphalt binder (Nicholls, 1998) This term is therefore used throughout this thesis The name porous concrete is used to indicate the porous surface techniques using Portland...
... PRODUCT LIFECYCLE OPTIMIZATION USINGDYNAMIC DEGRADATION MODELS JOHANNES ADRIANUS VAN DEN BOGAARD (M.Sc., Technische Universiteit ... MECHANICAL ENGINEERING NATIONAL UNIVERSITY OF SINGAPORE 2005 PRODUCT LIFECYCLE OPTIMIZATION USINGDYNAMIC DEGRADATION MODELS Proefschrift ter verkrijging van de graad van doctor aan de Technische ... TECHNISCHE UNIVERSITEIT EINDHOVEN Bogaard, Johannes A van den Product Lifecycle Optimization usingDynamic Degradation Models / By Johannes A van den Bogaard – Eindhoven : Technische Universiteit...
... www.elsevier.com/locate/apm Thermal error modelling of machine tools based on ANFIS with fuzzy c-means clusteringusing a thermal imaging camera Ali M Abdulshahed ⇑, Andrew P Longstaff, Simon Fletcher, Alan ... c-means clustering Grey system theory a b s t r a c t Thermal errors are often quoted as being the largest contributor to CNC machine tool errors, but they can be effectively reduced using error ... errors of machine tools using data obtained from a thermal imaging camera is introduced Different groups of key temperature points were identified from thermal images using a novel schema based...
... Cookies b) Applets [1.5] [1.5] c) URL rewriting d) Servlets 31 JSP is used for creating dynamic web pages using pure Java codes embedded as _, _ and _ a) Scriptlets c) User-defined ... directly a) True b) Statement b) c) [2.0] False SQL statement without parameters are normally executed using objects a) 41 [2.5] direct () b) 40 [2.0] JavaBean b) 39 [1.5] b) False a) 38 [2.0] [1.5] ... HttpServletRequest To invoke a servlet, create a HTML page that will send a request to the servlet using the _ method a) GET c) DoPOST b) POST d) DoGET [1.5] 83 The final method overridden in the...
... predict multi-dimensional coupled transport of reactants, heat and charged species using computational fluid dynamic (CFD) methods A comprehensive computational model should include the equations ... 21, 24] 2.3 Computational procedure The governing equations were discretized using a finite-volume method and solved using the multiphysics CFD code Stringent numerical tests were performed to ... Al-Baghdadi, MARS.; Shahad, H Optimization study of a PEM fuel cell performance using 3D multi-phase computational fluid dynamics model Journal of Zhejiang University SCIENCE-A 2007; 8(2): 285-300...