Search results for "generalization"

showing 10 items of 250 documents

Approximate treatment of higher excitations in coupled-cluster theory. II. Extension to general single-determinant reference functions and improved a…

2008

The theory and implementation of approximate coupled-cluster (CC), in particular approximate CC singles, doubles, triples, and quadruples methods, are discussed for general single-determinant reference functions. While the extension of iterative approximate models to the non-Hartree-Fock case is straightforward, the generalization of perturbative approaches is not trivial. In contrast to the corresponding perturbative triples methods, there are additional terms required for non-Hartree-Fock reference functions, and there are several possibilities to derive approximations to these terms. As it turns out impossible to develop an approach that is consistent with the canonical Hartree-Fock-base…

010304 chemical physicsGeneralizationHartree–Fock methodGeneral Physics and AstronomyContrast (statistics)Extension (predicate logic)010402 general chemistry01 natural sciences0104 chemical sciencesCoupled clusterComputational chemistry0103 physical sciencesApplied mathematicsPerturbation theory (quantum mechanics)Physical and Theoretical ChemistryMathematicsThe Journal of Chemical Physics
researchProduct

A Generalized Semiempirical Approach to the Modeling of the Optical Band Gap of Ternary Al-(Ga, Nb, Ta, W) Oxides Containing Different Alumina Polymo…

2021

A generalization of the modeling equation of optical band gap values for ternary oxides, as a function of cationic ratio composition, is carried out based on the semiempirical correlation between the differences in the electronegativity of oxygen and the average cationic electronegativity proposed some years ago. In this work, a novel approach is suggested to account for the differences in the band gap values of the different polymorphs of binary oxides as well as for ternary oxides existing in different crystalline structures. A preliminary test on the validity of the proposed modeling equations has been carried out by using the numerous experimental data pertaining to alumina and gallia p…

010405 organic chemistryGeneralizationChemistryBand gapCationic polymerizationThermodynamicsFunction (mathematics)Aluminum oxideComposition (combinatorics)010402 general chemistry01 natural sciencesArticleMixed oxides0104 chemical sciencesInorganic ChemistryCondensed Matter::Materials ScienceSettore ING-IND/23 - Chimica Fisica ApplicataBand GapPhysics::Atomic and Molecular ClustersPhysics::Chemical PhysicsPhysical and Theoretical ChemistryTernary operation
researchProduct

Experimental evidence suggests that specular reflectance and glossy appearance help amplify warning signals

2017

AbstractSpecular reflection appears as a bright spot or highlight on any smooth glossy convex surface and is caused by a near mirror-like reflectance off the surface. Convex shapes always provide the ideal geometry for highlights, areas of very strong reflectance, regardless of the orientation of the surface or position of the receiver. Despite highlights and glossy appearance being common in chemically defended insects, their potential signalling function is unknown. We tested the role of highlights in warning colouration of a chemically defended, alpine leaf beetle, Oreina cacaliae. We reduced the beetles’ glossiness, hence their highlights, by applying a clear matt finish varnish on thei…

0106 biological sciences0301 basic medicinewarning colourationScience010603 evolutionary biology01 natural sciencesArticle03 medical and health sciencesglossinessleaf beetlesOreina cacaliaeAvoidance learningGeneralization (learning)specular reflectionComputer visionSpecular reflectionMultidisciplinarybiologyEcologybusiness.industryQRbiology.organism_classificationReflectivityOther Physical Sciences030104 developmental biologyMedicineArtificial intelligenceBiochemistry and Cell BiologybusinessLeaf beetleOreina cacaliaeScientific Reports
researchProduct

Comparison of input data with different spatial resolution in landscape pattern analysis – A case study from northern Latvia

2017

A suitable spatial scale needs to be selected in geographical and landscape ecological research, and this requires great consideration as different scales have profound effect on derived landscape spatial patterns. Numerous studies have investigated the effects of different scales on landscape metrics using simulated patterns, but few have been conducted to compare different data sources with variable scale for regional- and landscape-scale assessments. Possibly this has occurred because researchers have been prone to use the best available source, a well-known standard, and easiest to use. This study was conducted to assess the impact of input data resolution on values of landscape pattern…

0106 biological sciencesCartographic generalization010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentForestryLand cover010603 evolutionary biology01 natural sciencesVariable (computer science)GeographyThematic mapHabitatTourism Leisure and Hospitality ManagementSpatial ecologyScale (map)CartographyImage resolution0105 earth and related environmental sciencesGeneral Environmental ScienceApplied Geography
researchProduct

Adjusted bat algorithm for tuning of support vector machine parameters

2016

Support vector machines are powerful and often used technique of supervised learning applied to classification. Quality of the constructed classifier can be improved by appropriate selection of the learning parameters. These parameters are often tuned using grid search with relatively large step. This optimization process can be done computationally more efficiently and more precisely using stochastic search metaheuristics. In this paper we propose adjusted bat algorithm for support vector machines parameter optimization and show that compared to the grid search it leads to a better classifier. We tested our approach on standard set of benchmark data sets from UCI machine learning repositor…

0209 industrial biotechnologyWake-sleep algorithmActive learning (machine learning)Computer scienceStability (learning theory)Linear classifier02 engineering and technologySemi-supervised learningcomputer.software_genreCross-validationRelevance vector machineKernel (linear algebra)020901 industrial engineering & automationLeast squares support vector machine0202 electrical engineering electronic engineering information engineeringMetaheuristicBat algorithmStructured support vector machinebusiness.industrySupervised learningOnline machine learningParticle swarm optimizationPattern recognitionPerceptronGeneralization errorSupport vector machineKernel methodComputational learning theoryMargin classifierHyperparameter optimization020201 artificial intelligence & image processingData miningArtificial intelligenceHyper-heuristicbusinesscomputer2016 IEEE Congress on Evolutionary Computation (CEC)
researchProduct

Genetic counselling difficulties and ethical implications of incidental findings from array-CGH: a 7-year national survey

2016

Microarray-based comparative genomic hybridization (aCGH) is commonly used in diagnosing patients with intellectual disability (ID) with or without congenital malformation. Because aCGH interrogates with the whole genome, there is a risk of being confronted with incidental findings (IF). In order to anticipate the ethical issues of IF with the generalization of new genome-wide analysis technologies, we questioned French clinicians and cytogeneticists about the situations they have faced regarding IF from aCGH. Sixty-five IF were reported. Forty corresponded to autosomal dominant diseases with incomplete penetrance, 7 to autosomal dominant diseases with complete penetrance, 14 to X-linked di…

0301 basic medicineGeneticsmedicine.medical_specialtyeducation.field_of_studyEthical issuesbusiness.industryGenetic counselingPopulationRetrospective cohort study030105 genetics & hereditymedicine.diseasePenetrance3. Good health03 medical and health sciencesGeneralization (learning)Family medicineIntellectual disabilityGeneticsMedicinebusinesseducationGenetics (clinical)Comparative genomic hybridizationClinical Genetics
researchProduct

A generalization of Kingman's model of selection and mutation and the Lenski experiment.

2017

Kingman’s model of selection and mutation studies the limit type value distribution in an asexual population of discrete generations and infinite size undergoing selection and mutation. This paper generalizes the model to analyze the long-term evolution of Escherichia. coli in Lenski experiment. Weak assumptions for fitness functions are proposed and the mutation mechanism is the same as in Kingman’s model. General macroscopic epistasis are designable through fitness functions. Convergence to the unique limit type distribution is obtained.

0301 basic medicineStatistics and ProbabilityGeneralizationPopulationBiology01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010104 statistics & probability03 medical and health sciencesStatisticsEscherichia coliApplied mathematicsQuantitative Biology::Populations and EvolutionLimit (mathematics)0101 mathematicsSelection GeneticeducationSelection (genetic algorithm)education.field_of_studyFitness functionGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineQuantitative Biology::GenomicsBiological Evolution030104 developmental biologyDistribution (mathematics)Modeling and SimulationMutation (genetic algorithm)MutationEpistasisGeneral Agricultural and Biological SciencesMathematical biosciences
researchProduct

LEGO-based generalized set of two linear algebraic 3D bio-macro-molecular descriptors: Theory and validation by QSARs

2019

Abstract Novel 3D protein descriptors based on bilinear, quadratic and linear algebraic maps in R n are proposed. The latter employs the kth 2-tuple (dis) similarity matrix to codify information related to covalent and non-covalent interactions in these biopolymers. The calculation of the inter-amino acid distances is generalized by using several dis-similarity coefficients, where normalization procedures based on the simple stochastic and mutual probability schemes are applied. A new local-fragment approach based on amino acid-types and amino acid-groups is proposed to characterize regions of interest in proteins. Topological and geometric macromolecular cutoffs are defined using local and…

0301 basic medicineStatistics and ProbabilityNormalization (statistics)GeneralizationQuantitative Structure-Activity RelationshipGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineLinear regressionAmino AcidsMathematicsGeneral Immunology and MicrobiologyApplied MathematicsStatistical parameterProteinsGeneral MedicineCollinearityStructural Classification of Proteins databaseSupport vector machine030104 developmental biologyModeling and SimulationTest setLinear ModelsGeneral Agricultural and Biological SciencesAlgorithmSoftware030217 neurology & neurosurgeryJournal of Theoretical Biology
researchProduct

Do typically and atypically developing children learn and generalize novel names similarly: The role of conceptual distance during learning and at te…

2020

International audience; There is a large body of evidence showing that comparison of multiple stimuli leads to better conceptualization and generalization of novel names than no-comparison settings in typically developing (TD) children. By contrast, the evidence regarding this issue remains scarce in children with intellectual disabilities (ID). Children with intellectual disabilities (ID) and TD children matched on mental age with the Raven's coloured progressive matrices were tested in several novel name learning comparison conditions, with familiar objects. We manipulated the conceptual distance between the learning stimuli in the learning phase and between the learning and generalizatio…

030506 rehabilitationIntellectual disabilities03 medical and health sciencesRaven's Progressive MatricesCognitionComparisonsGeneralization (learning)Intellectual DisabilityIntellectual disabilityDevelopmental and Educational PsychologymedicineHumansLearningNames0501 psychology and cognitive sciencesCognitive skill10. No inequalityChildMental ageIntelligence TestsConceptualization4. Education05 social sciencesmedicine.diseaseObject and relational categoriesClinical PsychologyLanguage developmentCategorization[SCCO.PSYC]Cognitive science/Psychology0305 other medical sciencePsychologyConceptual distance050104 developmental & child psychologyCognitive psychologyResearch in developmental disabilities
researchProduct

Mitigation and reinforcement in general knowledge expressions

2020

Abstract Speakers often mitigate by downgrading their own role in their utterances, depersonalizing the origin of their utterances and de-focalizing the deictic-personal point of reference (Briz, 1998; Caffi, 2007). Linguistically, this can be accomplished by means of impersonalization, generalization and referencing general knowledge. Interestingly, using expressions that suggest the objective, general or shared status of information can, in some cases, lead to argumentative reinforcement or boosting 1 (Cornillie, 2007a, b; Caffi, 1999; Briz, 2016). Our goal is to examine the relationship between the functions of mitigation and reinforcement in indirect evidential expressions of common kno…

050101 languages & linguisticsLinguistics and LanguageArgumentativeGeneralizationComputer sciencemedia_common.quotation_subject05 social sciences050105 experimental psychologyLanguage and LinguisticsArgumentation theoryInterpersonal relationshipArtificial IntelligenceEvidentialityCommon knowledge0501 psychology and cognitive sciencesGeneral knowledgeFunction (engineering)Cognitive psychologymedia_commonJournal of Pragmatics
researchProduct