Search results for "rule-based"

showing 10 items of 53 documents

Alle Wege Führen Zum Text

2016

The intention of this chapter is to review the development of linguistic research during the twentieth century in Europe and the United States, in order to show that the genesis of text linguistics as a comprehensive theoretical framework was necessary, considering the events from a post-eventum perspective. Firstly, structural linguistics is presented as well as its main exponents; secondly, generative linguistics is discussed; thirdly, the genesis and the development of text linguistics is presented. Concerning the structural linguistics, the key issues investigated by 4 linguists (namely, de Saussure, Benveniste, Hjelmslev and Bloomfield) are summarized. Concerning the generative linguis…

Structural linguisticsRule-based machine translationText linguisticsSociologySemanticsStrengths and weaknessesLinguisticsOrder (virtue)Generative grammarLinguistic turn
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A Rule-Based System for Hardware Configuration and Programming of IoT Devices

2019

Simplifying programming, deployment, and configuration of heterogeneous networked IoT devices requires networking, hardware, representation of knowledge and concepts, design and programming skills. In fact, IoT applications are mostly built by adopting different existing paradigms and technologies on a case-by-case basis. As a result, programming tools hinder adaptability and interoperability of applications with their rigidity. In this paper, we propose a rule-based system that configures and programs IoT devices automatically. The rule base holds formal specifications about hardware platforms, networking protocols, physical world concepts, and applications. Provided with a high-level appl…

Symbolic programmingFormal knowledge representationbusiness.industryComputer scienceSymbolic programmingmedia_common.quotation_subjectInteroperabilityRule-based systemAdaptabilitySoftware deploymentCode generationCode generationFORTHbusinessInternet of ThingsComputer hardwaremedia_common
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Building Construction Sets by Tiling Grammar Simplification

2016

This paper poses the problem of fabricating physical construction sets from example geometry: A construction set provides a small number of different types of building blocks from which the example model as well as many similar variants can be reassembled. This process is formalized by tiling grammars. Our core contribution is an approach for simplifying tiling grammars such that we obtain physically manufacturable building blocks of controllable granularity while retaining variability, i.e., the ability to construct many different, related shapes. Simplification is performed by sequences of two types of elementary operations: non-local joint edge collapses in the tile graphs reduce the gra…

Theoretical computer scienceGrammarComputer sciencemedia_common.quotation_subject010102 general mathematics020207 software engineering02 engineering and technology01 natural sciencesComputer Graphics and Computer-Aided DesignGraphRule-based machine translation0202 electrical engineering electronic engineering information engineering0101 mathematicsAlgorithmBuilding constructionmedia_commonComputer Graphics Forum
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Null Space Based Image Recognition Using Incremental Eigendecomposition

2011

An incremental approach to the discriminative common vector (DCV) method for image recognition is considered. Discriminative projections are tackled in the particular context in which new training data becomes available and learned subspaces may need continuous updating. Starting from incremental eigendecomposition of scatter matrices, an efficient updating rule based on projections and orthogonalization is given. The corresponding algorithm has been empirically assessed and compared to its batch counterpart. The same good properties and performance results of the original method are kept but with a dramatic decrease in the computation needed.

Training setbusiness.industryComputationContext (language use)Pattern recognitionRule-based systemLinear subspaceDiscriminative modelComputer visionArtificial intelligencebusinessOrthogonalizationEigendecomposition of a matrixMathematics
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Learning the structure of HMM's through grammatical inference techniques

2002

A technique is described in which all the components of a hidden Markov model are learnt from training speech data. The structure or topology of the model (i.e. the number of states and the actual transitions) is obtained by means of an error-correcting grammatical inference algorithm (ECGI). This structure is then reduced by using an appropriate state pruning criterion. The statistical parameters that are associated with the obtained topology are estimated from the same training data by means of the standard Baum-Welch algorithm. Experimental results showing the applicability of this technique to speech recognition are presented. >

Training setbusiness.industryComputer scienceEstimation theorySpeech recognitionMarkov processComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Pattern recognitionGrammar inductionsymbols.namesakeRule-based machine translationsymbolsArtificial intelligencePruning (decision trees)businessBaum–Welch algorithmHidden Markov modelError detection and correctionInternational Conference on Acoustics, Speech, and Signal Processing
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Application of graph grammars in music composing systems

1987

Tree-adjoining grammarDevelopment environmentGraph rewritingGraph labelingRule-based machine translationComputer scienceProgramming languageClique-widthGraph (abstract data type)Context-sensitive grammarcomputer.software_genrecomputer
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Masonry Sail Vaults in Maltese Architecture: Geometrical Analysis for the Study of Building Processes

2023

This research concerns the introduction and dissemination of masonry sail vaults in Malta between the sixteenth and the eighteenth centuries. A digital survey is produced to capture a reality-based 3D model, undertake analysis, and compare case studies with the aim of interpreting the sail vaults' construction systems.

Visual Arts and Performing ArtsGeneral MathematicsMalta Rule-based architecture Documentation Structure for Motion GeometryArchitectureSettore ICAR/17 - DisegnoSettore ICAR/18 - Storia Dell'ArchitetturaNexus Network Journal
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Improving Classification of Tweets Using Linguistic Information from a Large External Corpus

2016

The bag of words representation of documents is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. Improvements might be achieved by expanding the vocabulary with other relevant word, like synonyms.

VocabularyInformation retrievalbusiness.industryComputer sciencemedia_common.quotation_subjectRepresentation (systemics)computer.software_genreRule-based machine translationBag-of-words modelArtificial intelligencebusinesscomputerNatural language processingWord (computer architecture)media_common
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Design and evaluation of rule-based cropping systems

2009

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[ SDE.MCG ] Environmental Sciences/Global Changes[SDE.MCG] Environmental Sciences/Global Changes[SDE.MCG]Environmental Sciences/Global Changescropping systemsrule-based
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On the Influence of Grammars on Crossover in Grammatical Evolution

2021

Standard grammatical evolution (GE) uses a one-point crossover (“ripple crossover”) that exchanges codons between two genotypes. The two resulting genotypes are then mapped to their respective phenotypes using a Backus-Naur form grammar. This article studies how different types of grammars affect the resulting individuals of a ripple crossover. We distinguish different grammars based on the expected number of non-terminals chosen when mapping genotype codons to phenotypes, \(B_{avg}\). The grammars only differ in \(B_{avg}\) but can express the same phenotypes. We perform crossover operations on the genotypes and find that grammars with \(B_{avg} > 1\) lead to high numbers of either very sm…

animal structuresGrammarComputer sciencemedia_common.quotation_subjecteducationCrossover0102 computer and information sciences02 engineering and technologyExpected value01 natural sciencesCombinatoricsRule-based machine translation010201 computation theory & mathematicsGrammatical evolution0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingmedia_common
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