Search results for "Support"

showing 10 items of 2310 documents

Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons

2013

Network meta-analysis techniques allow for pooling evidence from different studies with only partially overlapping designs for getting a broader basis for decision support. The results are network-based effect estimates that take indirect evidence into account for all pairs of treatments. The results critically depend on homogeneity and consistency assumptions, which are sometimes difficult to investigate. To support such evaluation, we propose a display of the flow of evidence and introduce new measures that characterize the structure of a mixed treatment comparison. Specifically, a linear fixed effects model for network meta-analysis is considered, where the network estimates for two trea…

Statistics and ProbabilityDecision support systemEpidemiologyComputer scienceHomogeneity (statistics)PoolingLinear modelFixed effects modelDirected acyclic graphcomputer.software_genrePath lengthData miningLinear combinationcomputerStatistics in Medicine
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A Knowledge Management and Decision Support Model for Enterprises

2011

We propose a novel knowledge management system (KMS) for enterprises. Our system exploits two different approaches for knowledge representation and reasoning: a document-based approach based on data-driven creation of a semantic space and an ontology-based model. Furthermore, we provide an expert system capable of supporting the enterprise decisional processes and a semantic engine which performs intelligent search on the enterprise knowledge bases. The decision support process exploits the Bayesian networks model to improve business planning process when performed under uncertainty. Copyright © 2011 Patrizia Ribino et al.

Statistics and ProbabilityKnowledge Management SystemsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDecision support systemKnowledge managementArticle SubjectKnowledge representation and reasoningExploitProcess (engineering)business.industryComputer sciencelcsh:MathematicsApplied MathematicsGeneral Decision SciencesBayesian networkOntology (information science)lcsh:QA1-939computer.software_genreExpert systemComputational MathematicsKnowledge-based systemsbusinesscomputer
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Sparse kernel methods for high-dimensional survival data

2008

Abstract Sparse kernel methods like support vector machines (SVM) have been applied with great success to classification and (standard) regression settings. Existing support vector classification and regression techniques however are not suitable for partly censored survival data, which are typically analysed using Cox's proportional hazards model. As the partial likelihood of the proportional hazards model only depends on the covariates through inner products, it can be ‘kernelized’. The kernelized proportional hazards model however yields a solution that is dense, i.e. the solution depends on all observations. One of the key features of an SVM is that it yields a sparse solution, dependin…

Statistics and ProbabilityLung NeoplasmsLymphomaComputer sciencecomputer.software_genreComputing MethodologiesBiochemistryPattern Recognition AutomatedArtificial IntelligenceMargin (machine learning)CovariateCluster AnalysisHumansComputer SimulationFraction (mathematics)Molecular BiologyProportional Hazards ModelsModels StatisticalTraining setProportional hazards modelGene Expression ProfilingComputational BiologyComputer Science ApplicationsSupport vector machineComputational MathematicsKernel methodComputational Theory and MathematicsRegression AnalysisData miningcomputerAlgorithmsSoftwareBioinformatics
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Coupled variable selection for regression modeling of complex treatment patterns in a clinical cancer registry.

2013

For determining a manageable set of covariates potentially influential with respect to a time-to-event endpoint, Cox proportional hazards models can be combined with variable selection techniques, such as stepwise forward selection or backward elimination based on p-values, or regularized regression techniques such as component-wise boosting. Cox regression models have also been adapted for dealing with more complex event patterns, for example, for competing risks settings with separate, cause-specific hazard models for each event type, or for determining the prognostic effect pattern of a variable over different landmark times, with one conditional survival model for each landmark. Motivat…

Statistics and ProbabilityMaleNiacinamideBoosting (machine learning)Carcinoma HepatocellularEpidemiologyComputer scienceScoreFeature selectionAntineoplastic Agentscomputer.software_genreDecision Support TechniquesNeoplasmsCovariateHumansRegistriesAgedProportional Hazards ModelsProportional hazards modelPhenylurea CompoundsLiver NeoplasmsRegression analysisConfounding Factors EpidemiologicMiddle AgedSorafenibPrognosisRegressionCancer registryData Interpretation StatisticalRegression AnalysisData miningcomputerStatistics in medicine
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A decision support system methodology for forecasting of time series based on soft computing

2006

Exponential procedures are widely used as forecasting techniques for inventory control and business planning. A number of modifications to the generalized exponential smoothing (Holt-Winters) approach to forecasting univariate time series is presented, which have been adapted into a tool for decision support systems. This methodology unifies the phases of estimation and model selection into just one optimization framework which permits the identification of robust solutions. This procedure may provide forecasts from different versions of exponential smoothing by fitting the updated formulas of Holt-Winters and selects the best method using a fuzzy multicriteria approach. The elements of the…

Statistics and ProbabilitySoft computingMathematical optimizationDecision support systembusiness.industryApplied MathematicsModel selectionExponential smoothingUnivariateFuzzy logicNonlinear programmingComputational MathematicsComputational Theory and MathematicsArtificial intelligencebusinessPhysics::Atmospheric and Oceanic PhysicsSmoothingMathematicsComputational Statistics & Data Analysis
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Diffusion and Migration

2003

The sections in this article are Introduction Fundamental Concepts Diffusion–migration Flux Equations Poisson Equation and the LEN Assumption Continuity Equation Ohm's Law and Migrational Transport Numbers Diffusion-conduction Flux Equation Diffusion Boundary Layer Faraday's Law and Integral Transport Numbers Nernst Equation and Concentration Overpotential Steady State Current–voltage Curves of Systems with One Active Species Integration of the Transport Equations Solutions of Homovalent Ions, |zi | =z Binary Electrolyte Solutions Ternary Electrolyte Solutions. The Supporting Electrolyte Weak Binary Electrolyte Steady State Current–overpotential Curves in the Presence of Supporting Electrol…

Steady stateChemistrySupporting electrolyteDiffusionThermodynamicsElectrolyteCondensed Matter::Soft Condensed MatterDiffusion layersymbols.namesakeContinuity equationsymbolsNernst equationPhysics::Chemical PhysicsPoisson's equationEncyclopedia of Electrochemistry
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Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line

2021

This paper introduces a novel approach to representing continuous inputs in Tsetlin Machines (TMs). Instead of using one Tsetlin Automaton (TA) for every unique threshold found when Booleanizing continuous input, we employ two Stochastic Searching on the Line (SSL) automata to learn discriminative lower and upper bounds. The two resulting Boolean features are adapted to the rest of the clause by equipping each clause with its own team of SSLs, which update the bounds during the learning process. Two standard TAs finally decide whether to include the resulting features as part of the clause. In this way, only four automata altogether represent one continuous feature (instead of potentially h…

Stochastic Searching on the Line automatonBoosting (machine learning)decision support systemTK7800-8360Computer Networks and CommunicationsComputer scienceDiscriminative modelFeature (machine learning)Electrical and Electronic EngineeringArtificial neural networkrule-based learninginterpretable machine learninginterpretable AISparse approximationAutomatonRandom forestSupport vector machineVDP::Teknologi: 500Tsetlin MachineXAIHardware and ArchitectureControl and Systems EngineeringSignal ProcessingElectronicsTsetlin automataAlgorithm
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Tools, Human Development and Mathematics

2016

This chapter raises a number of issues from pre-history and history that one mathematics educator considers ‘worthy of mention’ with regard to tools and mathematics. These issues are: tool use in the development of the human species (phylogenesis); tool use in a mathematical culture, ancient Greek mathematics that goes beyond the obvious tools; an example from ancient Indian mathematics that bears some resemblances to Jon’s experimental mathematics described in Chap. 3; the mutual support of hand, mind and artefact in expert use of an abacus; a consideration of a period (sixteenth-century Europe) where there was a rapid advance in the development of mathematical tools.

Stone toolComputer scienceStraight edge010102 general mathematicsIndian mathematicsengineering.material01 natural sciencesHuman development (humanity)EpistemologyExperimental mathematicsMutual support0103 physical sciencesGreek mathematicsMathematics educationengineering010307 mathematical physics0101 mathematicsHuman speciesMathematics
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Information systems and strategy design

1999

Abstract Strategic thinking forms a wide-ranking, complex area of thought. It also seems to be an extremely interesting and important field in both management practice and literature. Recently, the areas that the different functions (like accounting, marketing, production and information systems) of firm and strategic thinking have in common have been lively discussed. In this paper, the applicability of information systems thinking to strategic thinking is outlined. For that purpose, three modes of strategy-making are explicated: strategy-making as management process, as game-playing and as leadership. In each of these three modes, the strategy design phase and especially the essentials of…

Strategic planningDecision support systemInformation Systems and ManagementStrategic thinkingKnowledge managementComputer scienceManagement sciencebusiness.industrymedia_common.quotation_subjectKnowledge acquisitionManagement Information SystemsArts and Humanities (miscellaneous)Strategic leadershipDevelopmental and Educational PsychologyInformation systemStrategic managementbusinessFunction (engineering)Management processInformation SystemsCritical systems thinkingmedia_commonDecision Support Systems
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Flexible strategic planning of transport systems

2012

Abstract This paper presents a decision support methodology for long-range planning of transport systems that exhibits strategic flexibility and stochastic system parameters. Unlike one-off strategic decisions, flexible decisions should be dynamically reformulated with time. The proposed methodology is based on the construction of a tree structure of multiple interlinked tactical planning problems, each associated with a scenario in the tree, where problems under scenarios at intermediate dates incorporate in their formulation the solution of the corresponding problems associated with past (future) connected scenarios. The resulting tree structure of interconnected planning decisions become…

Strategic planningFlexibility (engineering)Decision support systemEngineeringOperations researchManagement sciencebusiness.industryGeography Planning and DevelopmentDecision treeTransportationTree (data structure)Tree structureBusiness decision mappingbusinessFleet managementTransportation Planning and Technology
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