Search results for " rule"

showing 10 items of 628 documents

More Support for More-Support

2009

This book provides the most comprehensive account so far of novel and hitherto unexplained factors operative in the choice between synthetic ( prouder ) and analytic ( more proud ) comparatives. It argues that the underlying motivation in using the analytic variant is to mitigate processing demands – a compensatory strategy referred to as more -support. The analytic variant is claimed to be better suited to environments of increased processing complexity – presumably owing to its ability to facilitate early phrase structure recognition, the more transparent one-to-one relation between form and function and possibly because the degree marker more can serve as a structural signal foreshadowin…

Cognitive scienceBridging (networking)Variation (linguistics)Relation (database)Computer scienceForm and functionPhrase structure rulesCognitive complexity
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Sources and Boundaries of Institutional and Linguistic Normativity. Towards a Critical Social Ontology.

2013

Since Hegel and until speech acts theory and contemporary social ontology it came to full development the idea that most of reasons, duties, rights, entitlements, have to do, against Kant, with our participation to social, linguistic and institutional practices of the lifeform to which we belong rather than or more than with our dealing with “substantive moral principles”. But if we accept, with Hegel, that every individual rational determination of the will is justified as such only as a part of our collective Sittlichkheit (Hegel, 1967, cf. Di Lorenzo Ajello, 2009); if we accept from speech acts theory that there are commitments, rights and entitlements specific to every type of speech ac…

Collective intentionality collective recognition joint commitment criterion of fairnessconstitutive rules generalization.Settore M-FIL/06 - Storia Della Filosofia
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On the signature of four-manifolds with universal covering spin

1993

In this note we study closed oriented 4-manifolds whose universal covering is spin and ask whether there are restrictions on the divisibility of the signature. Since any natural number appears as the signature of a connected sum of r 2,s, without the assumption on the universal covering there cannot exist any restrictions. Certainly, the most famous such restriction was proved by Rohlin in [10], where he showed that the signature a of a smooth 4-dimensional spin manifold is divisible by 16 (compare part (2) of our Main Theorem for a new proof). The Kummer surface K shows that this is the best possible general result. Dividing by a certain free holomorphic involution on K, one obtains the En…

CombinatoricsFundamental groupGeneral MathematicsEnriques surfaceHolomorphic functionDivisibility ruleKummer surfaceManifoldConnected sumQuotientMathematicsMathematische Annalen
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Novel patterns for vector mesons from the large-Nc limit

2008

We report on a relation between the decay constants of \rho-like J^{PC}=1^{--} vector mesons, which arises solely from the perturbative analysis of the VV, TT and VT correlators at order \alpha_s^0 in the large-N_c limit. We find f_{V}^T/f_{V}=1/\sqrt{2} for highly excited states together with a pattern of alternation in sign. Quite remarkably, recent lattice determinations reported f_{\rho}^T/f_{\rho}=0.72(2), in excellent agreement with our large-N_c result. This seems to suggest a pattern like f_{Vn}^T/f_{Vn}=(-1)^n/\sqrt{2} for the whole (1^{--}) states. In order to test this conjecture in real QCD we construct a set of spectral sum rules, which turn out to comply nicely with this scena…

CombinatoricsQuantum chromodynamicsPhysicsNuclear and High Energy PhysicsParticle physicsHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)MesonExcited stateLattice (order)FOS: Physical sciencesSum rule in quantum mechanicsCurrent vector
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The best choice problem with an unknown number of objects

1993

The secretary problem with a known prior distribution of the number of candidates is considered. Ifp(i)=p(N=i),i ∈ [α, β] ∩ ℕ, whereα=inf{i ∈ℕ:p(i) > 0} andβ=sup{i ∈ℕ:p(i)≳0}, is the prior distribution of the numberN of candidates it will be shown that, if the optimal stopping rule is of the simple form, then the optimal stopping indexj=minΓ satisfies asymptotically (asβ → ∞) the equationj=exp $${{\left[ {\left( {\sum\limits_{i = max(\alpha ,j)}^\beta {p(i) \log (i)/i} } \right)} \right]} \mathord{\left/ {\vphantom {{\left[ {\left( {\sum\limits_{i = max(\alpha ,j)}^\beta {p(i) \log (i)/i} } \right)} \right]} {\left. {\left( {\sum\limits_{i = max(\alpha ,j)}^\beta {p(i)/i} } \right) - 1} \ri…

CombinatoricsStopping setGeneral MathematicsStopping ruleCalculusOptimal stopping ruleManagement Science and Operations ResearchChoice problemSoftwareMathematicsZOR Zeitschrift f�r Operations Research Methods and Models of Operations Research
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Modelling the Complex Dynamics of Public Opinion Propagation in Micro-Blogging.

2018

The purpose of this paper is to attempt to analyze the propagation of public opinion in micro-blogging. We proposed a Micro-blogging read-post model based on a well-known diffusion model and presented its system of equations. We carried out a global qualitative analysis of the model with latent and constant recruitment, then studied the existence and stability of the public opinion vanishing and prevailing equilibrium points. An empirical study of the model was conducted using data automatically collected from a typical case on Sina Weibo, a microblogging platform with the largest number of registered users and active users in China. Simulation results showed that our model can fit data in …

Complex Dynamics Micro-blogging Public Opinion Propagation Rules
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SVM approximation for real-time image segmentation by using an improved hyperrectangles-based method

2003

A real-time implementation of an approximation of the support vector machine (SVM) decision rule is proposed. This method is based on an improvement of a supervised classification method using hyperrectangles, which is useful for real-time image segmentation. The final decision combines the accuracy of the SVM learning algorithm and the speed of a hyperrectangles-based method. We review the principles of the classification methods and we evaluate the hardware implementation cost of each method. We present the combination algorithm, which consists of rejecting ambiguities in the learning set using SVM decision, before using the learning step of the hyperrectangles-based method. We present re…

Computer Science::Machine LearningComputer sciencebusiness.industryGaussianCombination algorithmImage processingPattern recognitionImage segmentationDecision ruleMachine learningcomputer.software_genreSupport vector machinesymbols.namesakeSignal ProcessingsymbolsComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringField-programmable gate arraybusinesscomputerIndustrial inspectionReal-Time Imaging
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Efficient linear fusion of partial estimators

2018

Abstract Many signal processing applications require performing statistical inference on large datasets, where computational and/or memory restrictions become an issue. In this big data setting, computing an exact global centralized estimator is often either unfeasible or impractical. Hence, several authors have considered distributed inference approaches, where the data are divided among multiple workers (cores, machines or a combination of both). The computations are then performed in parallel and the resulting partial estimators are finally combined to approximate the intractable global estimator. In this paper, we focus on the scenario where no communication exists among the workers, de…

Computer scienceBayesian probabilityInferenceAsymptotic distribution02 engineering and technology01 natural sciences010104 statistics & probability[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingArtificial Intelligence0202 electrical engineering electronic engineering information engineeringStatistical inferenceFusion rules0101 mathematicsElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUSMinimum mean square errorApplied MathematicsConstrained optimizationEstimator020206 networking & telecommunicationsComputational Theory and MathematicsSignal ProcessingComputer Vision and Pattern RecognitionStatistics Probability and Uncertainty[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmDigital Signal Processing
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The Holonic Production System: a Multi Agent Simulation Approach

2010

Today’s turbulent markets are facing unpredictable and sudden variations in demand. In this context, the Holonic Production System (HPS) seems to be able to overcome the operational and economic problems of traditional production systems. The HPS’ ability to adapt and react to business environment changes, whilst maintaining systemic synergies and coordination, leverage on its network organizational structure, assuring both flexibility and profitability. In this paper we study HPS experimentally, modeling holon-firms as agents. In our simulation, holon-firms interact both with each other and with the external environment without predetermined hierarchies and following their own aims and int…

Computer scienceMulti-agent systemmedia_common.quotation_subjectControl reconfigurationDecision ruleAdaptabilitySupply and demandHolonic Production System (HPS) Multi Agent System (MAS) Distributed Enterprise NetworkNegotiationRisk analysis (engineering)Organizational structureProfitability indexSettore SECS-P/08 - Economia E Gestione Delle ImpreseSimulationmedia_common
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Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation

2007

We propose a method of real-time implementation of an approximation of the support vector machine decision rule. The method uses an improvement of a supervised classification method based on hyperrectangles, which is useful for real-time image segmentation. We increase the classification and speed performances using a combination of classification methods: a support vector machine is used during a pre-processing step. We recall the principles of the classification methods and we evaluate the hardware implementation cost of each method. We present our learning step combination algorithm and results obtained using Gaussian distributions and an example of image segmentation coming from a part …

Computer sciencebusiness.industryGaussianScale-space segmentationPattern recognitionImage processingLinear classifierImage segmentationDecision ruleMachine learningcomputer.software_genreSupport vector machinesymbols.namesakesymbolsOne-class classificationArtificial intelligencebusinesscomputerGaussian process
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