Xem 1-20 trên 63 kết quả Parametric models
  • It is well known that occurrence counts of words in documents are often modeled poorly by standard distributions like the binomial or Poisson. Observed counts vary more than simple models predict, prompting the use of overdispersed models like Gamma-Poisson or Beta-binomial mixtures as robust alternatives. Another deficiency of standard models is due to the fact that most words never occur in a given document, resulting in large amounts of zero counts. We propose using zeroinflated models for dealing with this, and evaluate competing models on a Naive Bayes text classification task.

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  • [ Team LiB ] 7.8 Generate Blocks Generate statements allow Verilog code to be generated dynamically at elaboration time before the simulation begins. This facilitates the creation of parametrized models

    pdf7p sieukidvn 16-08-2010 43 3   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Image Resolution Enhancement via Data-Driven Parametric Models in the Wavelet Space

    pdf12p sting11 09-03-2012 16 3   Download

  • Introduction to Creo Parametric 3.0 includes introduction to Creo Parametric 3.0; introduction to the Creo Parametric Basic Modeling Process; understanding Creo Parametric Concepts; using the Creo Parametric Interface; selecting Geometry, Features, and Models; editing Geometry, Features, and Models; creating Sketcher Geometry; using Sketcher Tools; creating Sketches for Features and some things else.

    pdf776p b1305467 02-06-2015 52 33   Download

  • The goal of this course is to teach you how to use the SolidWorks mechanical design automation software to build parametric models of parts and assemblies and how to make simple drawings of those parts and assemblies.

    pdf506p ckm0789 11-01-2014 81 25   Download

  • Sheetmetal Design using Creo Parametric 2.0 presents Sheetmetal Design using Creo Parametric 2.0; Sheetmetal Model Fundamentals; Creating Primary Sheetmetal Wall Features; Creating Secondary Sheetmetal Wall Features; Bending and Unbending Sheetmetal Models; Modifying Sheetmetal Models; Sheetmetal Setup and Tools; Detailing Sheetmetal Designs.

     

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  • Linear parametric models of stationary random processes, whether signal or noise, have been found to be useful in a wide variety of signal processing tasks such as signal detection, estimation, filtering,

    pdf14p nguyen4 17-11-2009 47 5   Download

  • We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) decompose the syntactic dependency tree of a sentence into fragments, (2) assign each of these fragments to a cluster of semantically equivalent syntactic structures, and (3) predict predicate-argument relations between the fragments.

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  • In this paper we propose a method for the automatic decipherment of lost languages. Given a non-parallel corpus in a known related language, our model produces both alphabetic mappings and translations of words into their corresponding cognates. We employ a non-parametric Bayesian framework to simultaneously capture both low-level character mappings and highlevel morphemic correspondences.

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  • In this paper* I will argue for a model of grammatical processing that is based on uniform processing and knowledge sources. The main feature of this model is to view parsing and generation as two strongly interleaved tasks performed by a single parametrized deduction process. It will be shown that this view supports flexible and efficient natural language processing.

    pdf6p buncha_1 08-05-2013 18 2   Download

  • This document includes: Measurement of efficiency, Mathematical programming models: the non-parametric approach, Stochastic frontier models: the parametric approach.

    pdf27p tunghai08 28-06-2015 18 2   Download

  • The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words-binary-parse-structure with headword annotation. The model, its probabilistic parametrization, and a set of experiments meant to evaluate its predictive power are presented.

    pdf3p bunthai_1 06-05-2013 15 1   Download

  • The paper describes an experimental model of syntactic structure generation starting from the limited fragment of semantics that deals with the quantitative values of object parameters. To present the input information the basic semantic units of four types are proposed:"object", "parameter", "function" and "constant".

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  • Since the publication of my book Mathematical Statistics (Shao, 2003), I have been asked many times for a solution manual to the exercises in my book. Without doubt, exercises form an important part of a textbook on mathematical statistics, not only in training students for their research ability in mathematical statistics but also in presenting many additional results as complementary material to the main text.

    pdf384p crius75 02-01-2013 112 55   Download

  • Chapter 13b: Answer key about COST MANAGEMENT 1. Answer: c Both the cost and accuracy of parametric models vary widely. They are most likely to be reliable when the historical information used to develop the model was accurate, the parameters used in the model are readily quantifiable, and the model is scalable (i.e., it works as well for a very large project as for a very small one). 2. Answer: b An analogous estimate is one that is arrived at by taking a project or part of a project that is already completed and adjusting the cost on the basis...

    pdf7p hoason23 17-08-2010 86 45   Download

  • Knowing that the plant parameters can vary within their lower and upper bounds, this parametric uncertainty is formulated as an additive perturbation in the transfer function matrix. It is important to note that the controller be designed with respect to worst case uncertainty for each λij. This can be achieved by performing an optimization procedure given by (61) for 200 frequencies. Here an element by element uncertainty bound model is used for the characterization of upper bound of the uncertainty matrix. Then wij , which satisfies (62) for each λij is given in matrix form as,...

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  • The Signal Processing Toolbox is a collection of tools built on the MATLAB® numeric computing environment. The toolbox supports a wide range of signal processing operations, from waveform generation to filter design and implementation, parametric modeling, and spectral analysis. The toolbox provides two categories of tools:

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  • Parametric representation of shapes, mechanical components modeling with 3D visualization techniques using object oriented programming, the well known golden ratio application on vertical and horizontal displacement investigations of the ground surface, spatial modeling and simulating of dynamic continuous fluid flow process, simulation model for waste-water treatment, an interaction of tilt and illumination conditions at flight simulation and errors in taxiing performance, plant layout optimal plot plan, atmospheric modeling for weather prediction, a stochastic search method that explores ...

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  • This book provides a wealth of new information, ideas and analysis on some of the key unknowns in hurricane research.

    pdf206p crius75 02-01-2013 32 8   Download

  • Estimation theory gives one approach to characterizing random variables. This was based on building parametric models and describing the data by the parameters. An alternative approach is given by information theory. Here the emphasis is on coding. We want to code the observations. The observations can then be stored in the memory of a computer, or transmitted by a communications channel, for example.

    pdf20p duongph05 09-06-2010 76 7   Download

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