Search results for "artificial intelligence"

showing 10 items of 6122 documents

Characterization of the human visual system threshold performance by a weighting function in the Gabor domain

1997

Abstract As evidenced by many physiological and psychophysical reports, the receptive fields of the first-stage set of mechanisms of the visual process fit to two-dimensional (2D) compactly supported harmonic functions. The application of this set of band-pass filter functions to the input signal implies that the visual system carries out some kind of conjoint space/spatial frequency transform. Assuming that a conjoint transform is carried out, we present in this paper a new characterization of the visual system performance by means of a weighting function in the conjoint domain. We have called this weighting function (in the particular case of the Gabor transform) the Gabor stimuli Sensiti…

Weight functionbusiness.industryComputer sciencePattern recognitionFilter (signal processing)Function (mathematics)Gabor transformAtomic and Molecular Physics and OpticsWeightingsymbols.namesakeOpticsFourier transformHuman visual system modelsymbolsArtificial intelligenceSpatial frequencybusinessJournal of Modern Optics
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Distance measures for biological sequences: Some recent approaches

2008

AbstractSequence comparison has become a very essential tool in modern molecular biology. In fact, in biomolecular sequences high similarity usually implies significant functional or structural similarity. Traditional approaches use techniques that are based on sequence alignment able to measure character level differences. However, the recent developments of whole genome sequencing technology give rise to need of similarity measures able to capture the rearrangements involving large segments contained in the sequences. This paper is devoted to illustrate different methods recently introduced for the alignment-free comparison of biological sequences. Goal of the paper is both to highlight t…

Whole genome sequencingComputer sciencebusiness.industryApplied MathematicsSequence alignmentMachine learningcomputer.software_genreBioinformaticsMeasure (mathematics)GenomeDistance measuresSimilitudeTheoretical Computer ScienceArtificial IntelligenceSimilarity (psychology)Metric (mathematics)Artificial intelligencebusinesscomputerSoftwareInternational Journal of Approximate Reasoning
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Within and between variations of texts elicited from nine wine experts

2006

Nine wine experts tasted in replicate six Chardonnay wines that had been aged in oak barrels from different forests and/or species. They freely gave their descriptions in writing; the only instruction given was to underline three words or expressions that best characterized each tasted wine. The texts were submitted to an objective lexical analysis that quantified the important variation among the experts. In addition a matching task was performed by 117 assessors in which each assessor received from each expert six white cards and six yellow cards representing the descriptions of the six white wines and six red wines. The assessors were incapable of matching the descriptions for the same e…

WineNutrition and Dieteticsbusiness.industryLexical analysisReplicateArtificial intelligencePsychologycomputer.software_genrebusinesscomputerNatural language processingFood ScienceFood Quality and Preference
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Wittgenstein, Turing, and Neural Networks

2018

The main task of this paper is grounding the socio-anthropological “naturalization” of meaning operated by the later Wittgenstein in his remarks on rule-following in the Philosophical Investigations in considerations relating to models of low-level (biological) processes of imitation, training, and learning. If the operation suggested above is successful, two of its immediate consequences are that the social aspect of language can no longer be considered as a primitive notion, but needs to be placed upon, if not reduced to, a biological foundation; and that the study of thought, and, actually, of certain brain processes, becomes prior in the order of explanation to the study of language. Th…

Wittgenstein Turing Neural Networks Cognitive Science Artificial Intelligence Naturalism learning trainingSettore M-FIL/02 - Logica E Filosofia Della Scienza
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An Extension of the VSM Documents Representation using Word Embedding

2017

Abstract In this paper, we will present experiments that try to integrate the power of Word Embedding representation in real problems for documents classification. Word Embedding is a new tendency used in the natural language processing domain that tries to represent each word from the document in a vector format. This representation embeds the semantically context in that the word occurs more frequently. We include this new representation in a classical VSM document representation and evaluate it using a learning algorithm based on the Support Vector Machine. This new added information makes the classification to be more difficult because it increases the learning time and the memory neede…

Word embeddingComputer sciencebusiness.industryRepresentation (systemics)Context (language use)Extension (predicate logic)computer.software_genreDomain (software engineering)Support vector machineVector graphicsArtificial intelligencebusinesscomputerWord (computer architecture)Natural language processingBalkan Region Conference on Engineering and Business Education
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Where is the syllable priming effect in visual word recognition?

2003

Recent studies using the masked priming paradigm have reported facilitating effects of syllable primes in French and English word naming (Ferrand, Segui, & Grainger, 1996; Ferrand, Segui, & Humphreys, 1997). However, other studies have not been able to replicate these effects in Dutch and English (Schiller, 1998, 1999, 2000). In Experiment 1, using the same stimuli and procedure as Ferrand et al. (1996), we did not replicate the syllable priming effect in French. In Experiments 2a and 2b, when prime duration was increased (from 30 to 45 and 60 ms), we did not obtain a syllable priming effect. In Experiment 3, with 60 participants and exactly the same procedure as Ferrand et al. (1996), we a…

Word readingVisual word recognitionLinguistics and LanguageNeuropsychology and Physiological PsychologyArtificial IntelligenceExperimental and Cognitive PsychologySyllablePsychologyPriming (psychology)Language and LinguisticsLinguisticsJournal of Memory and Language
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Interpretability in Word Sense Disambiguation using Tsetlin Machine

2021

Word-sense disambiguationComputer sciencebusiness.industryArtificial intelligencecomputer.software_genrebusinesscomputerNatural language processingInterpretabilityProceedings of the 13th International Conference on Agents and Artificial Intelligence
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SisHiTra : A Hybrid Machine Translation System from Spanish to Catalan

2004

In the current European scenario, characterized by the coexistence of communities writing and speaking a great variety of languages, machine translation has become a technology of capital importance. In areas of Spain and of other countries, coofficiality of several languages implies producing several versions of public information. Machine translation between all the languages of the Iberian Peninsula and from them into English will allow for a better integration of Iberian linguistic communities among them and inside Europe. The purpose of this paper is to show a machine translation system from Spanish to Catalan that deals with text input. In our approach, both deductive (linguistic) and…

Word-sense disambiguationMachine translationComputer sciencebusiness.industryAutomatic translationWord error rateHybrid machine translationcomputer.software_genreVariety (linguistics)language.human_languagelanguageCatalanArtificial intelligencebusinesscomputerNatural languageNatural language processing
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Experiments in Non-Coherent Post-editing

2017

Market pressure on translation productivity joined with technological innovation is likely to fragment and decontextualise translation jobs even more than is cur-rently the case. Many different translators increasingly work on one document at different places, collaboratively working in the cloud. This paper investigates the effect of decontextualised source texts on behaviour by comparing post-editing of sequentially ordered sentences with shuffled sentences from two different texts. The findings suggest that there is little or no effect of the decontextualised source texts on behaviour.

Work (electrical)Fragment (logic)business.industryComputer scienceNon coherentCloud computingArtificial intelligencebusinesscomputer.software_genrecomputerProductivityNatural language processingProceedings of the Workshop on Human-Informed Translation and Interpreting Technology
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ARTIFICIAL INTELLIGENCE VS DESIGNER: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DESIGN PRACTICE

2021

Technological advances, including the use of possibilities offered by artificial intelligence (AI), have become an area of strategic importance and a key driver of economic development. AI today has been integrated into a variety of economies, the design industry is no exception: AI is being increasingly applied in the development of design products and services. However, as technological breakthroughs rapidly shift the borders between the work tasks performed by humans and those performed by machines and algorithms, global labor markets are undergoing major transformations. This raises the question: how are these changes affecting and will continue to affect designers’ work in the future? …

Work (electrical)business.industryComputer scienceInternet resourcesartificial intelligence designer future case studyKey (cryptography)Artificial intelligencebusinessProfessional activityVariety (cybernetics)Skill setsTest (assessment)SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference
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