general spatial model estimation
Báo cáo khoa học: "A General, Abstract Model of Incremental Dialogue Processing" pdf
... independent of the bi-directionality that can be expressed through connectedness axioms The Model 3.1 Overview We model a dialogue processing system in an abstract way as a collection of connected processing ... various types of dysfluencies described for example by Levelt (1989) can be modelled It depends on the goals behind building the model whether this is considered a downside or desired behaviour 715 ... discourse modelling module and an action manager As can be seen in the figure, there is also a self-monitoring feedback loop—the system’s actions are sent from the TTS to the discourse modeller...
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a general equilibrium model for energy policy evaluation using gtap-e for vietnam
... energy intensive and non-intensive sectors The Standard GTAP model and the GTAP-E model 2.1 The Standard GTAP model The standard GTAP model describes accounting relations and behavioral equations ... global sectors which are introduced to complete the model In fact, the theory of GTAP model is similar to other Applied General Equilibrium models The systems of GTAP comprise of two different ... GTAP-E model The GTAP-E model is an energy-environmental version of the standard GTAP model based on the GTAP version data base The main change in GTAP-E compared with the traditional GTAP model...
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Báo cáo khoa học: "A GENERAL COMPUTATIONAL MODEL FOR WORD-FORM RECOGNITION AND PRODUCTION" potx
... o s k e n n i e m i , K., f o r t h coming A process model of morphology and lexicon Folia Linguistica Karttunen, L., 1983 K I M M O : A General Morphological Processor In TLF 22 K a r t t u ... the PASCAL version The two-level model has also been rewritten in Z e t a l i s p (Ken C h u r c h at Bell) and in N I L (Hank Bromley in Helsinki and Ume~) The model has been tested by writing ... O., 1984 S v e n s k b ~ j n i n g s m o r f o logi: en t i l l ~ m p n i n g av t v ~ n i v ~ modellen Unpublished seminar paper D e p a r t m e n t of G e n e r a l L i n g u i s t i c s ,...
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Mô hình tuyến tính tổng quát General Linear Model (GLM)
... tính (R’S Sex) • Sử dụng phân tích phương sai yếu tố (Two-way anova) Trong SPSS : Analyze /General linear model/ Univariate: cho trường hợp có biến phụ thuộc • Trong mô hình này, sử dụng độ tin...
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Estimation of emissions of nonmethane organic compounds from a closed landfill site using a landfill gas emission model
... landfill site using Landfill Gas Emission Model 1.1 Landfill gas emission model The landfill gas emission model used in this paper is one of the numerous models embedded in Analytical Contaminant ... Contaminant Transport Analysis System (ACTS) software This particular model is based on the USEPA model LandGEM [7, 18] In this model, the landfill gas is assumed to be roughly half methane and half ... landfill emissions model The model has the following assumptions and limitations: i the methane generation process is based on a first order decay mechanism ii Parameters of the model are empirical...
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Tài liệu MULTIPLE LINEAR REGRESSION MODEL Introduction and Estimation ppt
... (k: number of explanatory variables in the model) e) No error model specification a) b) c) d) 4.2 Additional assumptions of OLS for multiple regression model Regressors not perfectly satisfy any ... Yi is also a random variable 4.1 OLS assumptions in a simple regression model are interpreted in a multiple regression model : these assumptions relate to stochastic disturbance (εi) Mean value ... the multiple regression model 2) Data requirement Some data is expressed in terms of a spreadsheet as above mentioned 3) Population Regression Function-PRF Study the model : Yi = β1 + β2 X 2i...
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Báo cáo " Potential evapotranspiration estimation and its effect on hydrological model response at the Nong Son Basin" doc
... physically sound and rigorous Monteith [20] generalized the Penman equation for waterstressed crops by introducing a canopy resistance Now the Penman-Monteith model is widely employed As a result, ... approach, the conceptual rainfall-runoff model known as NAM [8] is used to examine its effect on hydrological response Potential description evapotranspiration model 2.1 Penman-Monteith equation Potential ... that derived from the Piche data, the NAM conceptual model was used to simulate the hydrology of the study area in the 1983-2003 period The NAM model performance is evaluated with a set of two statistical...
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Báo cáo khoa học: "General-to-Specific Model Selection for Subcategorization Preference*" pot
... most general class(es) The "Independent Cases" model is the one obtained by removing all the case dependencies from the "Optimal" model, while the "General Classes" model is the one obtained by generalizing ... approximately optimal models selected by the procedure in section 4.4 (the "Optimal" mode] of "General- to-Specific" method), as well as for several other models including baseline models Coverage is ... the most general model, i.e., a model with no case dependency as well as the most general sense restrictions which correspond to the highest classes in the thesaurus This starting model has high...
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Báo cáo khoa học: "A Part of Speech Estimation Method for Japanese Unknown Words using a Statistical Model of Morphology and Context" pptx
... candidates The first model is Equation (12), which is a set of word models trained for each part of speech (POS + Poisson + bigram) The second model is Equation (13), which is a set of word models trained ... perplexity of three unknown word model The first model is Equation (5), which is the combination of Poisson distribution and character zerogram (Poisson + zerogram) The second model is the combination ... segmentation model As for the unknown word model, word-based character bigrams are computed from the words with Table 5: Cross entropy (CE) per word and character perplexity (PP) of each unknown word model...
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Computer Simulation of General and Flag Officer Management - Model Description and Results ppt
... detailed questions that are not easily answered using spreadsheet models, stock-and-flow models, or linearprogramming models The simulation model has been applied to research sponsored by the Office of ... best officer are discussed below Model Procedures Business-rule inputs are easily altered; model procedures are not Model procedures address things such as how the model is seeded with simulated ... simulation model allows for violations of accounting rules is a prime reason why this modeling approach is preferred—in this situation—over spreadsheet models or linear-programming models that...
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Báo cáo khoa học: "Proximity in Context: an empirically grounded computational model of proximity for processing topological spatial expressions∗" docx
... cannot interpret spatial proximity expressions nor motivate their contextually and pragmatically appropriate use In this paper, we present a model that addresses this problem The model uses energy ... salience, to model how spatial templates associated with other landmarks may interfere to establish what are contextually appropriate ways to locate a target relative to these landmarks The model enables ... in all other cases We will investigate this in future work Expressing spatial proximity We use the model of §3 to interpret spatial references to objects A fundamental requirement for processing...
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inverse problem theory and methods for model parameter estimation - a. tarantola
... Example 1.39 Generalized Gaussian model In the case of independent uncertainties, the Gaussian model of Example 1.37 can be generalized (replacing the Gaussian model of uncertainties with the generalized ... point of which represents a conceivable model of the system This manifold is named the model space and is denoted M Individual models are points of the model space manifold and could be denoted ... Methods for Model Parameter Estimation OT89 Tarantola FM2.qxp 11/18/2004 3:50 PM Page OT89 Tarantola FM2.qxp 11/18/2004 3:50 PM Page Inverse Problem Theory and Methods for Model Parameter Estimation...
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báo cáo hóa học: "A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants" pptx
... both signal models and parameter models (e.g., longer-time remodelling models) The parameters in a signal model may simultaneously be the signal in a parameter model, with the two models operating ... neuromusculoskeletal models that include Hill muscle models [16-18] Hill-based muscle models predict force as a function of muscle activation, length and velocity In traditional use of such models, parameters ... relation between the model and the real human system Structural relation between the model and the real human system The intervention plan drives both the real system and fuzzy model, with the sampled...
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Báo cáo hóa học: " A general solution to the continuous-time estimation problem under widely linear processing" pdf
... more general estimation problem than those solved in [27-29] For that, we consider the general formulation of the estimation problem given in [15], and we solve it by using WL processing The generality ... formulation is very general and contains as particular cases a great number of classical estimation problems, such as estimation of signals in additive and/or multiplicative noise, estimation of signals ... everywhere Strictly Linear Estimation A core problem in signal processing theory is the estimation of a signal from the information supplied by another signal A very general formulation of this...
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báo cáo hóa học: " A packet-layer video quality assessment model with spatiotemporal complexity estimation" doc
... Packet-layer VQA model Page of 13 Decoded video signal - various error concealment artifacts - Media-layer model Bitstream-level VQA model Hybrid VQA model Figure Scope of the four types of VQA models ... this purpose In general, two approaches can be followed in packetlayer modeling One is the parameter-based modeling approach [6-9] and another is the loss-distortion chainbased modeling approach ... packet-layer model is computationally lightweight, it can be deployed in large scale along the media service chain The video quality model of ITU-T standard P.NAMS (Non-intrusive parametric model for...
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Báo cáo sinh học: " Research Article Improving Density Estimation by Incorporating Spatial Information" pot
... MPLE model Notice the difference for the invalid regions with our models and the Kernel Density Estimation model This method does very well for the sparse data sets of 200 and 2,000 events 6.3.1 Model ... geographical images or other external spatial data Figure demonstrates how these models will improve on the current methods The Modified Total Variation MPLE Model The first model we propose is an extension ... our models did in comparison to one another and to the Kernel Density Estimate, we calculated the L2 errors located in Table Our models consistently outperform the Kernel Density Estimation model...
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Báo cáo hóa học: "Research Article A Geometrical-Based Model for Cochannel Interference Analysis and Capacity Estimation of CDMA Cellular Systems" pot
... proposed model is its lowcomputational cost In general, geometrically-based models used for the description of CCI are determined by the users’ distribution within the cell In a stochastic model, ... Similar models are also used in propagation channel modeling; see, for example, [24] Advantages of these models are the physical insight they provide and their low computational cost In general, ... Communications and Networking Table 2: Probability of interference values: simulated estimation errors Hexagonal model Circular model ρ=R System architecture Six-sectored system Narrow beam system eP 0.59%...
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Báo cáo hóa học: " Research Article Modified Spatial Channel Model for MIMO Wireless Systems" ppt
... Equation (9) is valid only for uniform linear array The spatial correlation matrix at the RX side is given by SPATIAL CHANNEL MODELLING The 3GPP SCM model is serving as the basis for evaluation of MIMO ... UMTS [4] In the following we first introduce the 3GPP SCM model and then propose a modification of it 3.1 3GPP SCM The 3GPP spatial channel model has been defined for CDMA systems with MHz bandwidth ... paths amplitudes are modeled as Rayleigh distributed variables This implies a correlation between consecutive elements of the array that can be modeled with the well-known Jakes model [9] Several...
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Báo cáo hóa học: " Research Article Spatial-Temporal Correlation Properties of the 3GPP Spatial Channel Model and the Kronecker MIMO Channel Model" pdf
... signal is modeled as a superposition of waves, and often adopted into a tapped delay-line structure for implementation Within this category, the widely employed models are the spatial channel model ... two models? (2) under what conditions will the two models exhibit similar spatial- temporal correlation characteristics? (3) when will we use the SCM or KBSM as the best tradeoff between the model ... comparison of the spatial- temporal correlation properties of both types of models was not based on the same set of parameters This leaves us a doubt whether the difference of the spatial- temporal...
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Báo cáo hóa học: " Parameter Estimation of a Plucked String Synthesis Model Using a Genetic Algorithm with Perceptual Fitness Calculation" ppt
... string model Fundamental frequency of the vertical string model Loop gain of the horizontal string model Frequency-dependent gain of the horizontal string model Loop gain of the vertical string model ... model x(n) y(n) F(z) H(z) z−LI Figure 2: The basic string model models Sh (z) and Sv (z) that simulate the effect of the two polarizations of the transversal vibratory motion A single string model ... parameter estimation of synthesis models Vuori and V¨ lim¨ ki [16] tried a simua a lated evolution algorithm for the flute model, and Horner et al [17] proposed an automated system for parameter estimation...
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