Search results for "computer.software_genre"

showing 10 items of 3858 documents

Truth and Ontology

2010

PhilosophyAnalytic philosophyComputer sciencebusiness.industryArtificial intelligenceOntology (information science)computer.software_genrebusinesscomputerNatural language processingDisputatio
researchProduct

Good Old Aristotle

2021

The first two sections reconstruct Aristotle’s syllogistics, emphasizing its structural differences from modern logic. The third and the fourth discuss the most important modern interpreter of syllogistics, Lukasiewicz.

Philosophycomputer.software_genrecomputerLinguisticsInterpreter
researchProduct

The grammaticalization and pragmaticalization of cleft constructions in Present-Day English

2012

The present paper examines the development of the variation between a marked and an unmarked infinitival complement clause in three types of cleft constructions in 20th century English. Data from corpora of written and spoken British (BrE) and American English (AmE) evidence a significantly divergent development of these clefts types in speaking when compared to writing. The written corpora show a steady increase in the frequency of clefts, and a decrease of the to-infinitive paired with an increase of the bare infinitive, thus a reversal of preferences in both varieties in all three types of clefts. This erosion of to as an (optional) grammatical marker leads to a higher degree of syntacti…

PhraseComputer sciencebusiness.industryAmerican EnglishTopic markercomputer.software_genreGrammaticalizationLinguisticsFocus (linguistics)Variation (linguistics)InfinitiveArtificial intelligenceComplement (linguistics)businesscomputerNatural language processing
researchProduct

A framework for sign language sentence recognition by common sense context

2007

This correspondence proposes a complete framework for sign language recognition that integrates a commonsense engine in order to deal with sentence recognition. The proposed system is based on a multilevel architecture that allows modeling and managing of the knowledge of the recognition process in a simple and robust way. The final abstraction level of this architecture introduces the semantic context and the analysis of the correctness of a sentence given in a sequence of recognized signs. Experimentations are presented using a set of signs from the Italian sign language (LIS) for domotic applications. The implemented system maintains a high recognition rate when the set of signs grows, c…

PhraseItalian Sign LanguageComputer scienceSpeech recognitionNatural language interfaceneural networks.Context (language use)Image motion analysiSign languagecomputer.software_genreimage motion analysisKnowledge-based systemsElectrical and Electronic EngineeringCommonsense reasoningbusiness.industryCommonsense reasoningnatural language interfaceslanguage.human_languageComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringGesture recognitionlanguageArtificial intelligencebusinesscomputerSoftwareSentenceNatural languageNatural language processingNeural networksInformation Systems
researchProduct

Syntax Error Handling

1990

In the previous chapters we have seen that the various parsers discussed, at least whenever they are deterministic, detect an error in any nonsentence. This means, that on any nonsentence there is a computation ending with an error configuration. For practical parsers, mere error detection is not enough; the parser should also emit a meaningful error message and recover from the error. A recovery means that the error configuration is transformed into a non-error configuration at which normal parsing can be resumed. Moreover, the transformation should be done so that as few input symbols as possible will be discarded. The goal of the error recovery is to maximize the amount of input text tha…

PhraseParsingComputer sciencemedia_common.quotation_subjectComputationAmbiguitycomputer.software_genreTransformation (function)Quality (business)Syntax errorError detection and correctionAlgorithmcomputermedia_common
researchProduct

Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks

2008

Behavioural processes like those in sports, motor activities or rehabilitation are often the object of optimization methods. Such processes are often characterized by a complex structure. Measurements considering them may produce a huge amount of data. It is an interesting challenge not only to store these data, but also to transform them into useful information. Artificial Neural Networks turn out to be an appropriate tool to transform abstract numbers into informative patterns that help to understand complex behavioural phenomena. The contribution presents some basic ideas of neural network approaches and several examples of application. The aim is to give an impression of how neural meth…

Physical neural networkArtificial Intelligence Systembusiness.industryTime delay neural networkComputer scienceDeep learningNeocognitronMachine learningcomputer.software_genreCellular neural networkArtificial intelligenceTypes of artificial neural networksbusinesscomputerNervous system network models
researchProduct

A tool for filtering information in complex systems

2005

We introduce a technique to filter out complex data-sets by extracting a subgraph of representative links. Such a filtering can be tuned up to any desired level by controlling the genus of the resulting graph. We show that this technique is especially suitable for correlation based graphs giving filtered graphs which preserve the hierarchical organization of the minimum spanning tree but containing a larger amount of information in their internal structure. In particular in the case of planar filtered graphs (genus equal to 0) triangular loops and 4 element cliques are formed. The application of this filtering procedure to 100 stocks in the USA equity markets shows that such loops and cliqu…

Physics - Physics and SocietyComputer scienceComplex systemFOS: Physical sciencesPhysics and Society (physics.soc-ph)Minimum spanning treecomputer.software_genrePlanarHierarchical organizationINTERNETCondensed Matter - Statistical MechanicsComplex data typeMultidisciplinarySmall-world networkStatistical Mechanics (cond-mat.stat-mech)SMALL-WORLD NETWORKSFilter (signal processing)Disordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComplex networkWEBDYNAMIC ASSET TREESPhysical SciencesGRAPHData miningAlgorithmcomputerMathematicsofComputing_DISCRETEMATHEMATICS
researchProduct

Recent advances in intelligent-based structural health monitoring of civil structures

2018

This survey paper deals with the structural health monitoring systems on the basis of methodologies involving intelligent techniques. The intelligent techniques are the most popular tools for damage identification in terms of high accuracy, reliable nature and the involvement of low cost. In this critical survey, a thorough analysis of various intelligent techniques is carried out considering the cases involved in civil structures. The importance and utilization of various intelligent tools to be mention as the concept of fuzzy logic, the technique of genetic algorithm, the methodology of neural network techniques, as well as the approaches of hybrid methods for the monitoring of the struct…

Physics and Astronomy (miscellaneous)Computer science020101 civil engineering02 engineering and technologyMachine learningcomputer.software_genreFuzzy logiclcsh:Technology0201 civil engineering0203 mechanical engineeringManagement of Technology and InnovationGenetic algorithmlcsh:ScienceEngineering (miscellaneous)Basis (linear algebra)Artificial neural networkbusiness.industrylcsh:TIdentification (information)020303 mechanical engineering & transportsCritical surveylcsh:QArtificial intelligenceStructural health monitoringbusinesscomputer
researchProduct

Physics-Aware Machine Learning For Geosciences And Remote Sensing

2021

Machine learning models alone are excellent approximators, but very often do not respect the most elementary laws of physics, like mass or energy conservation, so consistency and confidence are compromised. In this paper we describe the main challenges ahead in the field, and introduce several ways to live in the Physics and machine learning interplay: encoding differential equations from data, constraining data-driven models with physics-priors and dependence constraints, improving parameterizations, emulating physical models, and blending data-driven and process-based models. This is a collective long-term AI agenda towards developing and applying algorithms capable of discovering knowled…

Physics010504 meteorology & atmospheric sciencesMathematical modelbusiness.industry0211 other engineering and technologies02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesField (computer science)Data modelingEnergy conservationEarth system scienceConsistency (database systems)Encoding (memory)Artificial intelligencebusinesscomputerGeology021101 geological & geomatics engineering0105 earth and related environmental sciencesPhysical lawIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium 2021
researchProduct

Grain—A Java data analysis system for Total Data Readout

2008

Grain is a data analysis system developed to be used with the novel Total Data Readout data acquisition system. In Total Data Readout all the electronics channels are read out asynchronously in singles mode and each data item is timestamped. Event building and analysis has to be done entirely in the software post-processing the data stream. A flexible and efficient event parser and the accompanying software system have been written entirely in Java. The design and implementation of the software are discussed along with experiences gained in running real-life experiments.

PhysicsData streamNuclear and High Energy PhysicsData processingParsingJavabusiness.industryEvent (computing)computer.software_genreSoftwareData acquisitionSoftware systembusinessInstrumentationcomputerComputer hardwarecomputer.programming_languageNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
researchProduct