Search results for "Software"

showing 10 items of 7396 documents

Current bioinformatics tools in genomic biomedical research (Review).

2006

On the advent of a completely assembled human genome, modern biology and molecular medicine stepped into an era of increasingly rich sequence database information and high-throughput genomic analysis. However, as sequence entries in the major genomic databases currently rise exponentially, the gap between available, deposited sequence data and analysis by means of conventional molecular biology is rapidly widening, making new approaches of high-throughput genomic analysis necessary. At present, the only effective way to keep abreast of the dramatic increase in sequence and related information is to apply biocomputational approaches. Thus, over recent years, the field of bioinformatics has r…

Sequence databaseGenome HumanGene predictionGene Expression ProfilingComputational BiologyGenomicsSequence alignmentGeneral MedicineGenomicsOncogenomicsBiologyBioinformaticsGenomePolymorphism Single NucleotideComputingMethodologies_PATTERNRECOGNITIONDatabases GeneticHuman Genome ProjectGeneticsHumansHuman genomePromoter Regions GeneticSequence AlignmentSoftwareSequence (medicine)International journal of molecular medicine
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Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues

2021

DNA sequences are the basic data type that is processed to perform a generic study of biological data analysis. One key component of the biological analysis is represented by sequence classification, a methodology that is widely used to analyze sequential data of different nature. However, its application to DNA sequences requires a proper representation of such sequences, which is still an open research problem. Machine Learning (ML) methodologies have given a fundamental contribution to the solution of the problem. Among them, recently, also Deep Neural Network (DNN) models have shown strongly encouraging results. In this chapter, we deal with specific classification problems related to t…

SequenceBiological dataSequence classificationSettore INF/01 - InformaticaArtificial neural networkProcess (engineering)Computer sciencebusiness.industryDeep learningBacteria classificationSequence classificationBacteria classificationNucleosome identificationDeep neural networkMachine learningcomputer.software_genreData typeNucleosome identificationComponent (UML)Artificial intelligenceMetagenomicsRepresentation (mathematics)businesscomputer
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On the product of balanced sequences

2011

The product w  =  u  ⊗  v of two sequences u and v is a naturally defined sequence on the alphabet of pairs of symbols. Here, we study when the product w of two balanced sequences u,v is balanced too. In the case u and v are binary sequences, we prove, as a main result, that, if such a product w is balanced and deg ( w ) = 4, then w is an ultimately periodic sequence of a very special form. The case of arbitrary alphabets is approached in the last section. The partial results obtained and the problems proposed show the interest of the notion of product in the study of balanced sequences.

SequenceGeneral MathematicsSturmian wordPeriodic sequenceBinary numberbalanceSturmian wordsInfinite sequences; Sturmian words; balanceComputer Science ApplicationsCombinatoricsInfinite sequencesSection (category theory)Product (mathematics)Infinite sequenceproductAlphabetSoftwareMathematics
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Positionless aspect based sentiment analysis using attention mechanism.

2021

Abstract Aspect-based sentiment analysis (ABSA) aims at identifying fine-grained polarity of opinion associated with a given aspect word. Several existing articles demonstrated promising ABSA accuracy using positional embedding to show the relationship between an aspect word and its context. In most cases, the positional embedding depends on the distance between the aspect word and the remaining words in the context, known as the position index sequence. However, these techniques usually employ both complex preprocessing approaches with additional trainable positional embedding and complex architectures to obtain the state-of-the-art performance. In this paper, we simplify preprocessing by …

SequenceInformation Systems and ManagementComputer sciencebusiness.industrySentiment analysisContext (language use)02 engineering and technologycomputer.software_genreLexiconManagement Information SystemsIndex (publishing)Artificial Intelligence020204 information systems0202 electrical engineering electronic engineering information engineeringPreprocessorEmbedding020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550SoftwareWord (computer architecture)Natural language processing
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Optimal selection of thek best of a sequence withk stops

1997

We first consider the situation in which the decision-maker is allowed to have five choices with purpose to choose exactly the five absolute best candidates fromN applicants. The optimal stopping rule and the maximum probability of making the right five-choice are given for largeN eN, the maximum asymptotic value of the probability of the best choice being limN→∝P (win) ≈ 0.104305. Then, we study the general problem of selecting thek best of a sequence withk stops, constructing first a rough solution for this problem. Using this suboptimal solution, we find an approximation for the optimal probability valuesPk of the form $$P_k \approx \frac{1}{{(e - 1)k + 1}}$$ for any k eN.

SequenceSelection (relational algebra)General MathematicsGeneral problemValue (computer science)Management Science and Operations ResearchApproxCombinatoricsOptimal stopping ruleOptimal stoppingAlgorithmSoftwareSecretary problemMathematicsMathematical Methods of Operations Research
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A Geometric Algebra Based Distributional Model to Encode Sentences Semantics

2013

Word space models are used to encode the semantics of natural language elements by means of high dimensional vectors [23]. Latent Semantic Analysis (LSA) methodology [15] is well known and widely used for its generalization properties. Despite of its good performance in several applications, the model induced by LSA ignores dynamic changes in sentences meaning that depend on the order of the words, because it is based on a bag of words analysis. In this chapter we present a technique that exploits LSA-based semantic spaces and geometric algebra in order to obtain a sub-symbolic encoding of sentences taking into account the words sequence in the sentence. © 2014 Springer-Verlag Berlin Heidel…

SequenceSemantic spacesTheoretical computer scienceGeneralizationbusiness.industryLatent semantic analysisSentences encodingInformationSystems_INFORMATIONSTORAGEANDRETRIEVALSemanticscomputer.software_genreGeometric algebraBag-of-words modelArtificial intelligenceClifford algebrabusinesscomputerNatural languageSentenceNatural language processingMathematics
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Fully Dynamic Evaluation of Sequence Pair

2013

In the electronic design automation field, as well as in other areas, problem instances and solutions are often subject to discrete changes. The foundational significance of efficient updates of the criterion value after dynamic updates, instead of recomputing it from scratch each time, has attracted a lot of research. In this paper, motivated by the significance of the sequence pair (SP) representation for floorplanning, we develop a fully dynamic algorithm of SP evaluation, that efficiently updates a criterion value after insertions and deletions of SP elements and after modifications of element weights. Our result is based on a new data structure for the predecessor problem, which mainta…

SequenceTheoretical computer scienceSequential logicDynamic problemComputer scienceElectrical and Electronic EngineeringRepresentation (mathematics)Data structureComputer Graphics and Computer-Aided DesignAlgorithmSoftwareField (computer science)FloorplanIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Silhouette encoding and synthesis using elliptic Fourier descriptors, and applications to videoconferencing

2004

Abstract This paper investigates the use of elliptic Fourier descriptors as a shape descriptor for encoding the silhouette of a person. Shape descriptors are here used for predicting the shape of silhouettes in missing frames within a sequence. This prediction scheme is applied to the case of generating in-between images in a low frame rate videoconferencing system, where the reconstructed silhouette is used as a binary mask for reducing the computational time for the frame reconstruction.

Sequencebusiness.industryComputer scienceFrame (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBinary numberFrame ratecomputer.software_genreLanguage and LinguisticsComputer Science ApplicationsSilhouetteHuman-Computer Interactionsymbols.namesakeFourier transformVideoconferencingComputer Science::Computational Engineering Finance and ScienceComputer Science::Computer Vision and Pattern RecognitionEncoding (memory)symbolsComputer visionArtificial intelligencebusinesscomputerComputingMethodologies_COMPUTERGRAPHICSJournal of Visual Languages & Computing
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Healthcare trajectory mining by combining multidimensional component and itemsets

2012

Sequential pattern mining is aimed at extracting correlations among temporal data. Many different methods were proposed to either enumerate sequences of set valued data (i.e., itemsets) or sequences containing multidimensional items. However, in real-world scenarios, data sequences are described as events of both multidimensional items and set valued information. These rich heterogeneous descriptions cannot be exploited by traditional approaches. For example, in healthcare domain, hospitalizations are defined as sequences of multi-dimensional attributes (e.g. Hospital or Diagnosis) associated with two sets, set of medical procedures (e.g. $ \lbrace $ Radiography, Appendectomy $\rbrace$) and…

Sequential PatternsComputer scienceDONNEE MEDICALE02 engineering and technologyReusecomputer.software_genreSynthetic dataDomain (software engineering)DATA MININGSet (abstract data type)Multi-dimensional Sequential Patterns020204 information systemsComponent (UML)SANTE0202 electrical engineering electronic engineering information engineeringPoint (geometry)SEQUENTIAL PATTERNMULTI DIMENSIONAL SEQUENTIAL PATTERNANALYSE DE DONNEES[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]BASE DE DONNEESTemporal databaseINFORMATIQUEScalabilityTRAJECTOIRE[SDE]Environmental Sciences020201 artificial intelligence & image processingData miningFOUILLEcomputer
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Bot or not? a case study on bot recognition from web session logs

2018

This work reports on a study of web usage logs to verify whether it is possible to achieve good recognition rates in the task of distinguishing between human users and automated bots using computational intelligence techniques. Two problem statements are given, offline (for completed sessions) and on-line (for sequences of individual HTTP requests). The former is solved with several standard computational intelligence tools. For the second, a learning version of Wald’s sequential probability ratio test is used.

Sequential decisionComputer sciencebusiness.industryProblem statementComputational intelligence02 engineering and technologyMachine learningcomputer.software_genreSequential decisionClassificationSession (web analytics)Task (project management)Work (electrical)020204 information systemsSequential probability ratio test0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingWeb usageArtificial intelligencebusinessClassification; Sequential decision; Web bot recognitioncomputerWeb bot recognition
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