Search results for "generalization"

showing 10 items of 250 documents

Branch-and-cut algorithms for the vehicle routing problem with trailers and transshipments

2013

This article studies the vehicle routing problem with trailers and transshipments VRPTT, a practically relevant, but challenging, generalization of the classical vehicle routing problem. The article makes three contributions: i Building on a nontrivial network representation, two mixed-integer programming formulations for the VRPTT are proposed. ii Based on these formulations, five different branch-and-cut algorithms are developed and implemented. iii The computational behavior of the algorithms is analyzed in an extensive computational study, using a large number of test instances designed to resemble real-world VRPTTs.Copyright © 2013 Wiley Periodicals, Inc. NETWORKS, Vol. 631, 119-133 20…

Static routingComputer Networks and CommunicationsGeneralizationComputer scienceTransshipmentHardware and ArchitectureSynchronization (computer science)Vehicle routing problemDestination-Sequenced Distance Vector routingRepresentation (mathematics)Branch and cutAlgorithmSoftwareInformation Systems
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A generalization to Sylow permutability of pronormal subgroups of finite groups

2020

[EN] In this note, we present a new subgroup embedding property that can be considered as an analogue of pronormality in the scope of permutability and Sylow permutability in finite groups. We prove that finite PST-groups, or groups in which Sylow permutability is a transitive relation, can be characterized in terms of this property, in a similar way as T-groups, or groups in which normality is transitive, can be characterized in terms of pronormality.

Pure mathematicsGeneralizationPropermutabilityFinite groups; subgroup embedding property; permutability; pro-S-permutability; propermutability01 natural sciencesMathematics::Group TheoryPermutabilitypermutabilityFinite group0101 mathematicsPro-S-permutabilityComputer Science::DatabasesMathematicsFinite groupAlgebra and Number Theorysubgroup embedding propertySubgroup embedding propertyApplied Mathematics010102 general mathematicsSylow theoremspro-S-permutabilityFinite groups010101 applied mathematicsEmbeddingpropermutabilityMATEMATICA APLICADAMatemàticaJournal of Algebra and Its Applications
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Colour alone matters : no predator generalization among morphs of an aposematic moth

2018

Local warning colour polymorphism, frequently observed in aposematic organisms, is evolutionarily puzzling. This is because variation in aposematic signals is expected to be selected against due to predators' difficulties associating several signals with a given unprofitable prey. One possible explanation for the existence of such variation is predator generalization, which occurs when predators learn to avoid one form and consequently avoid other sufficiently similar forms, relaxing selection for monomorphic signals. We tested this hypothesis by exposing the three different colour morphs of the aposematic wood tiger moth, Arctia plantaginis, existing in Finland to local wild-caught predato…

varoitusväri0106 biological sciences0301 basic medicinepredatorspredator-prey interactionsoppiminengeneralisationta1172ZoologyAposematismBiologywarning coloration010603 evolutionary biology01 natural sciencestäpläsiilikäsgeneettinen monimuotoisuusPredationpolymorphism03 medical and health sciencesArctia plantaginisGeneralization (learning)petoeläimetmatkiminenmothsjäljittelyPredatorEcology Evolution Behavior and Systematicswood tigersaaliseläimetWinglearningCyanistesyöperhosetpredator–prey interactionswood tiger mothbiology.organism_classificationpredator generalization030104 developmental biologywarning signalsMimicryta1181Animal Science and ZoologypreyAnimal Behaviour
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Incorporating hypothetical knowledge into the process of inductive synthesis

1996

The problem of inductive inference of functions from hypothetical knowledge is investigated in this paper. This type of inductive inference could be regarded as a generalization of synthesis from examples that can be directed not only by input/output examples but also by knowledge of, e. g., functional description's syntactic structure or assumptions about the process of function evaluation. We show that synthesis of this kind is possible by efficiently enumerating the hypothesis space and illustrate it with several examples.

Theoretical computer scienceInductive biasGeneralizationComputer scienceProcess (engineering)business.industrymedia_common.quotation_subjectSpace (commercial competition)Type (model theory)Inductive reasoningMachine learningcomputer.software_genreFunctional descriptionArtificial intelligenceFunction (engineering)businesscomputermedia_common
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A Widrow–Hoff Learning Rule for a Generalization of the Linear Auto-associator

1996

Abstract A generalization of the linear auto-associator that allows for differential importance and nonindependence of both the stimuli and the units has been described previously by Abdi (1988). This model was shown to implement the general linear model of multivariate statistics. In this note, a proof is given that the Widrow–Hoff learning rule can be similarly generalized and that the weight matrix will converge to a generalized pseudo-inverse when the learning parameter is properly chosen. The value of the learning parameter is shown to be dependent only upon the (generalized) eigenvalues of the weight matrix and not upon the eigenvectors themselves. This proof provides a unified framew…

General linear modelArtificial neural networkbusiness.industryGeneralizationApplied MathematicsGeneralized linear array modelMachine learningcomputer.software_genreGeneralized linear mixed modelHierarchical generalized linear modelLearning ruleApplied mathematicsArtificial intelligencebusinesscomputerGeneral PsychologyEigenvalues and eigenvectorsMathematicsJournal of Mathematical Psychology
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DISTATIS: The Analysis of Multiple Distance Matrices

2006

In this paper we present a generalization of classical multidimensional scaling called DISTATIS which is a new method that can be used to compare algorithms when their outputs consist of distance matrices computed on the same set of objects. The method first evaluates the similarity between algorithms using a coefficient called the RV coefficient. From this analysis, a compromise matrix is computed which represents the best aggregate of the original matrices. In order to evaluate the differences between algorithms, the original distance matrices are then projected onto the compromise. We illustrate this method with a "toy example" in which four different "algorithms" (two computer programs …

RV coefficientSet (abstract data type)Matrix (mathematics)Similarity (network science)Computer scienceGeneralizationbusiness.industryMultidimensional scalingArtificial intelligenceMultidimensional systemsbusinessDistance matrices in phylogeny2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
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Pre-emption in resource-constrained project scheduling

2008

Abstract The Resource-Constrained Project Scheduling Project (RCPSP), together with some of its extensions, has been widely studied. A fundamental assumption in this basic problem is that activities in progress are non-preemptable. Very little effort has been made to uncover the potential benefits of discrete activity pre-emption, and the papers dealing with this issue have reached the conclusion that it has little effect on project length when constant resource availability levels are defined. In this paper we show how three basic elements of many heuristics for the RCPSP – codification, serial SGS and double justification – can be adapted to deal with interruption. The paper is mainly foc…

ScheduleInformation Systems and ManagementGeneral Computer ScienceOperations researchGeneralizationbusiness.industryComputer scienceSchedule (project management)Management Science and Operations ResearchIndustrial and Manufacturing EngineeringScheduling (computing)Range (mathematics)Resource (project management)Constant (computer programming)Modeling and SimulationResource managementProject managementHeuristicsbusinessEuropean Journal of Operational Research
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Probabilistic foundations of contextuality

2017

Contextuality is usually defined as absence of a joint distribution for a set of measurements (random variables) with known joint distributions of some of its subsets. However, if these subsets of measurements are not disjoint, contextuality is mathematically impossible even if one generally allows (as one must) for random variables not to be jointly distributed. To avoid contradictions one has to adopt the Contextuality-by-Default approach: measurements made in different contexts are always distinct and stochastically unrelated to each other. Contextuality is reformulated then in terms of the (im)possibility of imposing on all the measurements in a system a joint distribution of a particul…

Pure mathematics(in)consistent connectednessmultimaximal couplingProperty (philosophy)Computer scienceGeneralizationFOS: Physical sciencesGeneral Physics and AstronomyDisjoint sets01 natural sciences050105 experimental psychologykontekstuaalisuusJoint probability distribution0103 physical sciencesFOS: Mathematicscontextuality0501 psychology and cognitive sciencescyclic systemcoupling010306 general physicsQuantum Physicskytkentäta114Probability (math.PR)ta11105 social sciencesProbabilistic logic16. Peace & justiceCoupling (probability)Kochen–Specker theoremQuantum Physics (quant-ph)81P13 81Q99 60A99Random variableMathematics - ProbabilityFortschritte der Physik
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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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The Principles of Quantum Theory

2013

This chapter develops the formal framework of quantum mechanics: the mathematical tools, generalization and abstraction of the notion of state, representation theory, and a first version of the postulates on which quantum theory rests.

medicine.medical_specialtyComputer scienceGeneralizationQuantum dynamicsHilbert spaceRelationship between string theory and quantum field theoryAbstraction (mathematics)symbols.namesakeOpen quantum systemQuantum stateQuantum mechanicssymbolsQuantum nanosciencemedicine
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