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Parameter Advising for Multiple Sequence Alignment

This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality;

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Spatially Explicit Hyperparameter Optimization for Neural Networks

few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often;

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Feedback Control Theory for Dynamic Traffic Assignment

setting; continuous-time ordinary differential equations (ODEs) representing a continuous-time lumped-parameter setting; and discreet-time ODEs;

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Feedback Control Theory for Dynamic Traffic Assignment

-parameter setting; continuous-time ordinary differential equations (ODEs) representing a continuous-time lumped-parameter setting; and discreet;

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How To Set Parameters

trigger the emergence of a natural kind of grammar. Lightfoot asserts that parameter setting is not sensitive to embedded material, and that it;

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Time-dependent Problems in Imaging and Parameter Identification

Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations;

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Diagnostic Methods in Time Series

asymptotically pivotal are given under general settings, and very clear implications for the relationships between the parameter of interest and the;

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Analytic Theory of Global Bifurcation

Rabinowitz's classical global bifurcation theory, which concerns the study in-the-large of parameter-dependent families of nonlinear;

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Statistical Methods For Speech Recogniti

, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present;

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Der Dritte Parameter Und Die Asymmetrische Varianz

Der Dritte Parameter Und Die Asymmetrische Varianz is een boek van Marcus Hellwig;

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Multi-parameter Singular Integrals. (AM-189), Volume I

This book develops a new theory of multi-parameter singular integrals associated with Carnot-Caratheodory balls. Brian Street first details;

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H-Infinity-Control for Distributed Parameter Systems

The aim of this book is to extend the major finite-dimensional state-space results to a large class of distributed parameter systems. These;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

of research techniques and their applicability for crop biophysical parameter estimation. It introduces theoretical background of radar scattering;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

of research techniques and their applicability for crop biophysical parameter estimation. It introduces theoretical background of radar scattering;

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Parameter Redundancy and Identifiability

Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be;

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Parameter Redundancy and Identifiability

Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be;

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Differential Calculus

calculus is presented in a Banach space setting, covering: &; Vector fields &; One-parameter groups of diffeomorphisms &; The;

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Parameter Setting

In May 1985 the University of Massachusetts held the first conference on the parameter setting model of grammar and acquisition. The;

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Statistical Estimation for Truncated Exponential Families

focuses on a truncated exponential family of distributions with a natural parameter and truncation parameter as a typical nonregular family. This;

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Brazilian Portuguese & the Null Subject Parameter

Using the Null Subject Parameter theory in cross linguistic variation, Brazilian Portuguese is studied in this book from a diachronic and a;

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Modelling and Parameter Estimation of Dynamic Systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system;

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Frequency Domain Techniques for H Control of Distributed Parameter Systems

This book presents new computational tools for the H control of distributed parameter systems in which transfer functions are considered;

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Nonlinear Transistor Model Parameter Extraction Techniques

Achieve accurate and reliable parameter extraction using this complete survey of state-of-the-art techniques and methods. A team of experts;

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New Trends in Parameter Identification for Mathematical Models

The Proceedings volume contains 16 contributions to the IMPA conference New Trends in Parameter Identification for Mathematical Models;

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