Search results for "LYN"

showing 10 items of 910 documents

Estimation of ordered response models with sample selection

2011

We introduce two new Stata commands for the estimation of an ordered response model with sample selection. The opsel command uses a standard maximum-likelihood approach to fit a parametric specification of the model where errors are assumed to follow a bivariate Gaussian distribution. The snpopsel command uses the semi-nonparametric approach of Gallant and Nychka (1987, Econometrica 55: 363–390) to fit a semiparametric specification of the model where the bivariate density function of the errors is approximated by a Hermite polynomial expansion. The snpopsel command extends the set of Stata routines for semi-nonparametric estimation of discrete response models. Compared to the other semi-n…

EstimationSample selectionHermite polynomialsResponse modelComputer scienceEstimatorSettore SECS-P/05 - EconometriaProbability density functionBivariate analysisst0226 opsel opsel postestimation sneop sneop postestimation snp2 snp2 postestimation snp2s snp2s postestimation snpopsel snpopsel postestimation snp snp postestimation ordered response models sample selection parametric maximum-likelihood estimation semi-nonparametric estimationSet (abstract data type)Mathematics (miscellaneous)StatisticsSettore SECS-P/01 - Economia PoliticaAlgorithmMathematicsParametric statistics
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Preliminary Results on the Helminthofauna of the Eurasian Lynx (Lynx Lynx) in Latvia

2003

In the article, preliminary data on the helminthofauna of the Eurasian lynx (Lynx lynx) in Latvia are presented. Material for the research on the helminthofauna was collected and investigated from 1999 to 2002. A total of 42 individuals was examined for helminths. Helminth species occurring most frequently in the Eurasian lynx and helminths dangerous to people were established. Six helminth species belonging to the following taxonomic groups were found: one species (Taenia pisiformis) of Cestoda and five species (Toxocara mystax, Thominx aerophilus, Trichinella sp., Capillaria felis-cati, and Nematoda sp.) of Nematoda.

Eurasian lynxEcologybiology.animalCestodaCapillariaHelminthsTrichinellaAnimal Science and ZoologyBiologyToxocara mystaxbiology.organism_classificationTaenia pisiformisActa Zoologica Lituanica
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Depositional environment and biofacies characterisation of the Triassic (Carnian to Rhaetian) carbonate succession of Punta Bassano (Marettimo Island…

2007

AThe aims of this study are to reconstruct the geological setting of the Punta Bassano series (Marettimo Island, Egadi Archipelago, western Sicily) and its palaeogeographic evolution. The reference section for the Upper Triassic of Marettimo shows an alternation of marl and limestone beds together with brecciated levels. The limestones are both homogeneous mudstones with evaporite pseudomorphs and laminated with fenestrae. Foraminiferal, palynomorph, and ostracod associations constrain the Punta Bassano sequence to the Carnian-Rhaetian interval. The Punta Bassano succession represents a shallow inner ramp, ranging from open-marine environment with good water circulation to lagoonal and peri…

EvaporiteStratigraphySedimentary depositional environmentPaleontologyForaminifersOstracodMarlddc:550SedimentologyUpper Triassic Sedimentology Foraminifers Ostracods Palynomorphs Palaeogeography Sicily Marettimo IslandSicilygeographygeography.geographical_feature_categorybiologyOstracodsPaleontologyMarettimo IslandGeologyPalynomorphsSedimentologybiology.organism_classificationTectonicsFaciesArchipelagoUpper TriassicPalaeogeographyGeology
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Inducing the Lyndon Array

2019

In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in $O(n)$ time using $\sigma + O(1)$ words of working space, where $n$ is the length of the text and $\sigma$ is the alphabet size. Our result improves the previous best space requirement for linear time computation of the Lyndon array. In fact, all the known linear algorithms for Lyndon array computation use suffix sorting as a preprocessing step and use $O(n)$ words of working space in addition to the Lyndon array and suffix array. Experimental results with real and synthetic datasets show that our algorithm is not onl…

FOS: Computer and information sciences050101 languages & linguisticsComputer scienceComputationInduced suffix sorting02 engineering and technologySpace (mathematics)law.inventionSuffix sortinglawSuffix arrayComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData_FILESPreprocessorData Structures and Algorithms (cs.DS)0501 psychology and cognitive sciencesComputer Science::Data Structures and AlgorithmsTime complexitySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informatica05 social sciencesLightweight algorithmSuffix arraySigmaComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Induced suffix sorting; Lightweight algorithms; Lyndon array; Suffix arrayWorking spaceLyndon arrayLightweight algorithms020201 artificial intelligence & image processingAlgorithmComputer Science::Formal Languages and Automata Theory
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Sorting suffixes of a text via its Lyndon Factorization

2013

The process of sorting the suffixes of a text plays a fundamental role in Text Algorithms. They are used for instance in the constructions of the Burrows-Wheeler transform and the suffix array, widely used in several fields of Computer Science. For this reason, several recent researches have been devoted to finding new strategies to obtain effective methods for such a sorting. In this paper we introduce a new methodology in which an important role is played by the Lyndon factorization, so that the local suffixes inside factors detected by this factorization keep their mutual order when extended to the suffixes of the whole word. This property suggests a versatile technique that easily can b…

FOS: Computer and information sciencesBWTLyndon FactorizationSettore INF/01 - InformaticaSorting Suffixes; Lyndon Factorization; Lyndon WordsSuffix arrayComputer Science - Data Structures and AlgorithmsData_FILESData Structures and Algorithms (cs.DS)Lyndon wordSorting suffixeSorting SuffixesLyndon Words
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Uncommon Suffix Tries

2011

Common assumptions on the source producing the words inserted in a suffix trie with $n$ leaves lead to a $\log n$ height and saturation level. We provide an example of a suffix trie whose height increases faster than a power of $n$ and another one whose saturation level is negligible with respect to $\log n$. Both are built from VLMC (Variable Length Markov Chain) probabilistic sources; they are easily extended to families of sources having the same properties. The first example corresponds to a ''logarithmic infinite comb'' and enjoys a non uniform polynomial mixing. The second one corresponds to a ''factorial infinite comb'' for which mixing is uniform and exponential.

FOS: Computer and information sciencesCompressed suffix arrayPolynomialLogarithmGeneral MathematicsSuffix treevariable length Markov chain[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix treeprobabilistic source0102 computer and information sciences02 engineering and technologysuffix trie01 natural scienceslaw.inventionCombinatoricslawComputer Science - Data Structures and AlgorithmsTrieFOS: Mathematics0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Mixing (physics)[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]MathematicsDiscrete mathematicsApplied MathematicsProbability (math.PR)020206 networking & telecommunicationssuffix trie.Computer Graphics and Computer-Aided Design[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010201 computation theory & mathematicsmixing properties60J05 37E05Suffix[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilitySoftware
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Optimized Kernel Entropy Components

2016

This work addresses two main issues of the standard Kernel Entropy Component Analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian kernel parameter. KECA roughly reduces to a sorting of the importance of kernel eigenvectors by entropy instead of by variance as in Kernel Principal Components Analysis. In this work, we propose an extension of the KECA method, named Optimized KECA (OKECA), that directly extracts the optimal features retaining most of the data entropy by means of compacting the information in very few features (often in just one or two). The proposed method produces features which have higher expressive power. In particular…

FOS: Computer and information sciencesComputer Networks and CommunicationsKernel density estimationMachine Learning (stat.ML)02 engineering and technologyKernel principal component analysisMachine Learning (cs.LG)Artificial IntelligencePolynomial kernelStatistics - Machine Learning0202 electrical engineering electronic engineering information engineeringMathematicsbusiness.industry020206 networking & telecommunicationsPattern recognitionComputer Science ApplicationsComputer Science - LearningKernel methodKernel embedding of distributionsVariable kernel density estimationRadial basis function kernelKernel smoother020201 artificial intelligence & image processingArtificial intelligencebusinessSoftwareIEEE Transactions on Neural Networks and Learning Systems
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Retrieval of coloured dissolved organic matter with machine learning methods

2017

The coloured dissolved organic matter (CDOM) concentration is the standard measure of humic substance in natural waters. CDOM measurements by remote sensing is calculated using the absorption coefficient (a) at a certain wavelength (e.g. 440nm). This paper presents a comparison of four machine learning methods for the retrieval of CDOM from remote sensing signals: regularized linear regression (RLR), random forest (RF), kernel ridge regression (KRR) and Gaussian process regression (GPR). Results are compared with the established polynomial regression algorithms. RLR is revealed as the simplest and most efficient method, followed closely by its nonlinear counterpart KRR.

FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciences0211 other engineering and technologiesFOS: Physical sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesMachine Learning (cs.LG)Physics - GeophysicsKrigingDissolved organic carbonLinear regression021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsPolynomial regressionbusiness.industry6. Clean waterGeophysics (physics.geo-ph)Random forestNonlinear systemColored dissolved organic matterKernel (statistics)Artificial intelligencebusinesscomputer
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Some complexity and approximation results for coupled-tasks scheduling problem according to topology

2016

International audience; We consider the makespan minimization coupled-tasks problem in presence of compatibility constraints with a specified topology. In particular, we focus on stretched coupled-tasks, i.e. coupled-tasks having the same sub-tasks execution time and idle time duration. We study several problems in framework of classic complexity and approximation for which the compatibility graph is bipartite (star, chain,. . .). In such a context, we design some efficient polynomial-time approximation algorithms for an intractable scheduling problem according to some parameters.

FOS: Computer and information sciencesCoupled-task scheduling model[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Computer science0211 other engineering and technologies0102 computer and information sciences02 engineering and technologyManagement Science and Operations ResearchComputational Complexity (cs.CC)Topology01 natural sciencesExecution timeTheoretical Computer ScienceComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)021103 operations researchJob shop schedulingPolynomial-time approximation algorithmApproximation algorithmCompatibility graphComplexityIdle timeComputer Science ApplicationsComputer Science - Computational Complexity[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]010201 computation theory & mathematicsCompatibility (mechanics)Bipartite graphMinification
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Factorizations of the Fibonacci Infinite Word

2015

The aim of this note is to survey the factorizations of the Fibonacci infinite word that make use of the Fibonacci words and other related words, and to show that all these factorizations can be easily derived in sequence starting from elementary properties of the Fibonacci numbers.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Crochemore factorizationComputer Science - Formal Languages and Automata Theory68R15Fibonacci wordLempel-Ziv factorizationLyndon factorizationFOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - CombinatoricsZeckendorf representationCrochemore factorization; Fibonacci word; Lempel-Ziv factorization; Lyndon factorization; Zeckendorf representation; Discrete Mathematics and CombinatoricsCombinatorics (math.CO)Computer Science - Discrete Mathematics
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