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A classification and comparison framework for software architecture description languages

by Nenad Medvidovic, Richard N. Taylor - IEEE Transactions on Software Engineering , 2000
"... Software architectures shift the focus of developers from lines-of-code to coarser-grained architectural elements and their overall interconnection structure. Architecture description languages (ADLs) have been proposed as modeling notations to support architecture-based development. There is, howev ..."
Abstract - Cited by 855 (59 self) - Add to MetaCart
other modeling notations. The framework is used to classify and compare several existing ADLs, enabling us in the process to identify key properties of ADLs. The comparison highlights areas where existing ADLs provide extensive support and those in which they are deficient, suggesting a research agenda

— Comparison framework)

by unknown authors , 2013
"... software engineering professionals ..."
Abstract - Add to MetaCart
software engineering professionals

A Practical Bayesian Framework for Backprop Networks

by David J.C. MacKay - Neural Computation , 1991
"... A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks. The framework makes possible: (1) objective comparisons between solutions using alternative network architectures ..."
Abstract - Cited by 494 (19 self) - Add to MetaCart
A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks. The framework makes possible: (1) objective comparisons between solutions using alternative network architectures

Stochastic volatility: likelihood inference and comparison with ARCH models

by Sangjoon Kim, Salomon Brothers, Asia Limited, Neil Shephard - Review of Economic Studies , 1998
"... In this paper, Markov chain Monte Carlo sampling methods are exploited to provide a unified, practical likelihood-based framework for the analysis of stochastic volatility models. A highly effective method is developed that samples all the unobserved volatilities at once using an approximating offse ..."
Abstract - Cited by 592 (40 self) - Add to MetaCart
In this paper, Markov chain Monte Carlo sampling methods are exploited to provide a unified, practical likelihood-based framework for the analysis of stochastic volatility models. A highly effective method is developed that samples all the unobserved volatilities at once using an approximating

Unified analysis of discontinuous Galerkin methods for elliptic problems

by Douglas N. Arnold, Franco Brezzi, Bernardo Cockburn, L. Donatella Marini - SIAM J. Numer. Anal , 2001
"... Abstract. We provide a framework for the analysis of a large class of discontinuous methods for second-order elliptic problems. It allows for the understanding and comparison of most of the discontinuous Galerkin methods that have been proposed over the past three decades for the numerical treatment ..."
Abstract - Cited by 525 (31 self) - Add to MetaCart
Abstract. We provide a framework for the analysis of a large class of discontinuous methods for second-order elliptic problems. It allows for the understanding and comparison of most of the discontinuous Galerkin methods that have been proposed over the past three decades for the numerical

Bayesian Interpolation

by David J.C. MacKay - NEURAL COMPUTATION , 1991
"... Although Bayesian analysis has been in use since Laplace, the Bayesian method of model--comparison has only recently been developed in depth. In this paper, the Bayesian approach to regularisation and model--comparison is demonstrated by studying the inference problem of interpolating noisy data. T ..."
Abstract - Cited by 728 (17 self) - Add to MetaCart
Although Bayesian analysis has been in use since Laplace, the Bayesian method of model--comparison has only recently been developed in depth. In this paper, the Bayesian approach to regularisation and model--comparison is demonstrated by studying the inference problem of interpolating noisy data

USER’S GUIDE TO VISCOSITY SOLUTIONS OF SECOND ORDER PARTIAL DIFFERENTIAL EQUATIONS

by Michael G. Crandall, Hitoshi Ishii, Pierre-louis Lions , 1992
"... The notion of viscosity solutions of scalar fully nonlinear partial differential equations of second order provides a framework in which startling comparison and uniqueness theorems, existence theorems, and theorems about continuous dependence may now be proved by very efficient and striking argume ..."
Abstract - Cited by 1399 (16 self) - Add to MetaCart
The notion of viscosity solutions of scalar fully nonlinear partial differential equations of second order provides a framework in which startling comparison and uniqueness theorems, existence theorems, and theorems about continuous dependence may now be proved by very efficient and striking

Implementation Comparison Framework

by Montréal Québec, Henry S. Thompson, Richard Tobin , 2001
"... This paper describes a standards-based approach to the task of comparing two implements of the W3C XML Schema language: no special-purpose software is required, nor any common API for accessing the results of schema validity assessment. A combination of XSLT transformations and appeal to an XML mani ..."
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manifestation of XML Infosets is all that is required. A Standards-based XML Schema Implementation Comparison Framework

TnT - A Statistical Part-Of-Speech Tagger

by Thorsten Brants , 2000
"... Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov models performs at least as well as other current approaches, including the Maximum Entropy framework. A recent comparison h ..."
Abstract - Cited by 540 (5 self) - Add to MetaCart
Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov models performs at least as well as other current approaches, including the Maximum Entropy framework. A recent comparison

On combining classifiers

by Josef Kittler, Mohamad Hatef, Robert P. W. Duin, Jiri Matas - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1998
"... We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision. An experimental ..."
Abstract - Cited by 1420 (33 self) - Add to MetaCart
We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision
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