Search results for "heuristics"

showing 10 items of 191 documents

Influence of Ad Congruence and Social Cues on the Probability of Choosing a Restaurant

2020

Abstract. Information processing of digital content includes conscious and un-conscious processes, memory, attitudes, and emotions and moods. Build up into the Heuristic‐Systematic Model, that states that persuasion can occur through a systematic or heuristic way, this research explores the effect of social media (SM) ratings and the ad content embedded in the SM website. Online ratings (part of the user-generated content (UGC) in SM platforms) are often heuristics cues. Subtle forms of congruence, such as the matching category between a restaurant advertiser and the third-party ad, as well as UGC, could have an impact on con-sumers’ attitudes towards the former. However, research on …

PersuasionInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)Digital contentmedia_common.quotation_subject05 social sciencesComputingMethodologies_MISCELLANEOUSInformation processingSocial cue050105 experimental psychologyInformationSystems_MODELSANDPRINCIPLESCongruence (geometry)0502 economics and businessSocial Media advertising UGC restaurant050211 marketing0501 psychology and cognitive sciencesSocial mediaValence (psychology)InformationSystems_MISCELLANEOUSPsychologyHeuristicsSocial psychologyComputingMilieux_MISCELLANEOUSmedia_common
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A Comparative Study on Feature Selection for Retinal Vessel Segmentation Using FABC

2009

This paper presents a comparative study on five feature selection heuristics applied to a retinal image database called DRIVE. Features are chosen from a feature vector (encoding local information, but as well information from structures and shapes available in the image) constructed for each pixel in the field of view (FOV) of the image. After selecting the most discriminatory features, an AdaBoost classifier is applied for training. The results of classifications are used to compare the effectiveness of the five feature selection methods.

PixelSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature vectorRetinal images vessel segmentation AdaBoost classifier feature selection.ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionFeature selectionFeature (computer vision)SegmentationComputer visionArtificial intelligenceHeuristicsbusinessFeature detection (computer vision)
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Economic lot scheduling on multiple production lines with resource constraints

2003

Abstract This paper deals with the multiple production line economic lot scheduling problem, where some items cannot be produced concurrently since they compete for some discrete resources. In particular, cyclic schedules are sought for a problem where identical production lines are present, lost sales are allowed, and minimization of the long-range production, setup, inventory, and shortage penalty costs are required. A heuristic procedure for this problem is introduced, a numerical example is worked out and some computational experiments are presented.

Production lineEconomics and EconometricsMathematical optimizationResource constraintsScheduling (production processes)Management Science and Operations ResearchGeneral Business Management and AccountingIndustrial and Manufacturing EngineeringEconomic lot scheduling problemFair-share schedulingGenetic algorithm schedulingEconomicsMinificationHeuristicsInternational Journal of Production Economics
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Justification technique generalizations

2006

The justification technique was introduced various decades ago for the resource-constrained project scheduling problem, although it has rarely been used with the problem. Justification is a simple and quick technique which when applied to schedules produces a new schedule that is, at most, as long as the original schedule — and often shorter. A recent article (Valls et al, 2005), showed that incorporating justification in heuristic algorithms can produce a substancial improvement in the results obtained. These results have motivated us to generalise this technique in order to study it in greater depth. This paper proposes distinct forms and generalisations for the justification technique an…

Project scheduling problemScheduleMathematical optimizationRelation (database)Computer scienceHeuristicAlgorithmic efficiencyHeuristicsSimple (philosophy)
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Dal quartetto alla jam session: strategie conversazionali e razionalità

2020

In questo articolo sosterrò che le nostre concezioni di linguaggio e comunicazione mutano in funzione dell’accezione di razionalità che viene assunta. In particolare, mostrerò come ad un modello di razionalità olimpica e assoluta – ovvero ad un modello di animale umano che ragiona seguendo le leggi della logica formale – corrisponda una concezione della comunicazione esemplificata dall’immagine del quartetto, un complesso musicale in cui quattro musicisti suonano insieme seguendo delle regole fisse e stabilite prima di iniziare a suonare. Questa immagine sembra ben rispecchiare i modelli di comunicazione proposti da Paul Grice e Jurgen Habermas,dominanti nello studio del linguaggio fino agl…

Rationality Pragmatics HeuristicsSettore M-FIL/05 - Filosofia E Teoria Dei Linguaggi
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Heuristics and Memory Strategies Used by Mathematicians

1996

The study of the cognitive processes involved in learning and acquisition of technically complex material is a main focus of interest for basic and applied research. Our research program tries to identh memory aids and heuristic training strategies useful for improving mathematics performance. Part of the effectiveness of a course, designed by taking into account knowledge about the cognitive system, has to do with the development of an adequate relationship with the belief system of the learner. As a first step in that direction, we present a survey of the opinions of a group of mathematicians about the dd€iculty of their subjecr matter, the strategies they use spontaneously to overcome di…

Research programSimple (abstract algebra)HeuristicGraph (abstract data type)Experimental and Cognitive PsychologyCognitionApplied researchMathematical proofHeuristicsPsychologySensory SystemsCognitive psychologyPerceptual and Motor Skills
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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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Design and implementation of a course scheduling system using Tabu Search

2002

Abstract Building a course timetable is a difficult and lengthy task which universities devote a large amount of human and material resources to every year. We have developed a computer package to solve this problem. The program runs on a PC and the user may set the objectives and parameters from among a wide range of possibilities. It has a user-friendly interface for the user to input the relevant data and obtain the corresponding results. The optimization process is based on a set of heuristic algorithms. The core is a Tabu Search procedure for which several strategies have been developed and tested in order to get a fast and powerful algorithm. The first tests of the package have produc…

ScheduleMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceHeuristic (computer science)Computer scienceHeuristicInterface (computing)Process (computing)Management Science and Operations ResearchIndustrial and Manufacturing EngineeringTabu searchTask (project management)Set (abstract data type)Range (mathematics)Computer engineeringModeling and SimulationHeuristicsEuropean Journal of Operational Research
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A hybrid genetic algorithm for the resource-constrained project scheduling problem

2008

Abstract In this paper we propose a Hybrid Genetic Algorithm (HGA) for the Resource-Constrained Project Scheduling Problem (RCPSP). HGA introduces several changes in the GA paradigm: a crossover operator specific for the RCPSP; a local improvement operator that is applied to all generated schedules; a new way to select the parents to be combined; and a two-phase strategy by which the second phase re-starts the evolution from a neighbour’s population of the best schedule found in the first phase. The computational results show that HGA is a fast and high quality algorithm that outperforms all state-of-the-art algorithms for the RCPSP known by the authors of this paper for the instance sets j…

Scheduleeducation.field_of_studyMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer sciencebusiness.industryResource constrainedCrossoverPopulationManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringProject scheduling problemModeling and SimulationGenetic algorithmArtificial intelligencebusinessHeuristicseducationEuropean Journal of Operational Research
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An Overview of the Application of Deep Learning in Short Read Sequence Classification

2020

AbstractAdvances in sequencing technology have led to an ever increasing amount of available short read sequencing data. This has, consequently, exacerbated the need for efficient and precise classification tools that can be used in the analysis of this data. As it stands, recent years have shown that massive leaps in performance can be achieved when it comes to approaches that are based in heuristics, and alongside these improvements there has been an ever increasing interest in applying deep learning techniques to revolutionize this classification task. We attempt to gather up these approaches and to evaluate their performance in a reproducible fashion to get a better perspective on the c…

SequenceComputer sciencebusiness.industryDeep learningState (computer science)Artificial intelligenceShort readHeuristicsbusinessData scienceTask (project management)
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