Now showing items 560-579 of 8833

    • Basic activities in llamas (Lama glama) 

      Milz, C; Gauly, M; Dzapo, V; Gerken, M (Wageningen Acadademic Publ., 2001)
    • A Basic Characterization of Relation Migration 

      Keet, CM; Artale, A (Springer, 2010)
      Representing and reasoning over evolving objects has been investigated widely. Less attention has been devoted to the similar notion of relation migration, i.e., how tuples of a relation (ORM facts) can evolve along time. ...
    • Basic Description Logics 

      Baader F; Nutt W (Cambridge University Press, 2003)
      This chapter provides an introduction to Description Logics as a formal language for representing knowledge and reasoning about it. It first gives a short overview of the ideas underlying Description Logics. Then it ...
    • Basin-scale analysis of the geomorphic effectiveness of flash floods: A study in the northern Apennines (Italy) 

      Scorpio V; Crema S; Marra F; Righini M; Ciccarese G; Borga M; Cavalli M; Corsini A; Marchi L; Surian N; Comiti F (2018)
      Large floods may produce remarkable channel changes, which determine damages and casualties in inhabited areas. However, our knowledge of such processes remains poor, as is our capability to predict them. This study analyses ...
    • The Bass diffusion equation on scale-free networks with correlations and inhomogeneous advertising 

      Bertotti ML; Brunner J; Modanese G (Polito, 2015)
      The Bass diffusion equation, which is an effective forecasting tool for innovation diffusion based on large collections of empirical data, assumes an homogeneous diffusion process. We introduce for the first time a network ...
    • The Bass diffusion model on correlated scale-free networks 

      Bertotti ML; Brunner J; Modanese G (Complex Systems Society, 2016)
    • The Bass Diffusion Model on Finite Barabasi-Albert Networks 

      Bertotti ML; Modanese G (2019)
      Using a heterogeneous mean-field network formulation of the Bass innovation diffusion model and recent exact results on the degree correlations of Barabasi-Albert networks, we compute the times of the diffusion peak and ...
    • The Bass diffusion model on networks with correlations and inhomogeneous advertising 

      Bertotti ML; Brunner J; Modanese G (2016)
      The Bass model, which is an effective forecasting tool for innovation diffusion based on large collections of empirical data, assumes an homogeneous diffusion process. We introduce a network structure into this model and ...
    • Baumkronenmanagement für die Verlangsamung des Reifeprozesses 

      Andreotti C; Lucchetta V; Petrillo M (2019)
    • Bayesian Calibration of Generalized Pools of Predictive Distributions 

      Casarin, R; Mantoan, G; Ravazzolo, F (2016)
      Decision-makers often consult different experts to build reliable forecasts on variables of interest. Combining more opinions and calibrating them to maximize the forecast accuracy is consequently a crucial issue in several ...
    • The Bayesian Description Logic BEL 

      Ceylan, II; Penaloza, R (Springer, 2014)
      We introduce the probabilistic Description Logic BEL. In BEL, axioms are required to hold only in an associated context. The probabilistic component of the logic is given by a Bayesian network that describes the joint ...
    • Bayesian Description Logics 

      Ceylan I; Peñaloza R (CEUR, 2014)
      We present Bayesian Description Logics (BDLs): an extension of Description Logics (DLs) with contextual probabilities encoded in a Bayesian network (BN). Classical DL reasoning tasks are extended to consider also the ...
    • Bayesian model averaging in the presence of structural breaks 

      Ravazzolo F; Paap R; van Dijk D; Franses PH (Emerald Publishing Group, 2008)
      This chapter develops a return forecasting methodology that allows for instability in the relationship between stock returns and predictor variables, model uncertainty, and parameter estimation uncertainty. The predictive ...
    • Bayesian Near-boundary Analysis in Basic Macroeconomic Time-series Models 

      Ravazzolo, F; Segers, R; de Pooter, M; van Dijk, HK (2008)
      Several lessons learnt from a Bayesian analysis of basic macroeconomic time-series models are presented for the situation where some model parameters have substantial posterior probability near the boundary of the parameter ...
    • Bayesian Nonparametric Calibration and Combination of Predictive Distributions 

      Bassetti F; Casarin R; Ravazzolo F (2016)
      We introduce a Bayesian approach to predictive density calibration and combination that accounts for parameter uncertainty and model set incompleteness through the use of random calibration functionals and random combination ...
    • The Bayesian Ontology Language BEL 

      Ceylan II; Peñaloza R (2016)
      We introduce the new probabilistic description logic (DL) (Formula presented.), which extends the light-weight DL (Formula presented.) with the possibility of expressing uncertainty about the validity of some knowledge. ...
    • The Bayesian Ontology Reasoner is BORN! 

      Ceylan I; Mendez J; Peñaloza R (CEUR, 2015)
      Bayesian ontology languages are a family of probabilistic ontology languages that allow to encode probabilistic information over the axioms of an ontology with the help of a Bayesian network. The Bayesian ontology language ...
    • A BCI using VEP for continuous control of a mobile robot 

      Kapeller C; Hintermüller C; Abu-Alqumsan M; Prückl R; Peer A; Guger C (IEEE, 2013)
      A brain-computer interface (BCI) translates brain activity into commands to control devices or software. Common approaches are based on visual evoked potentials (VEP), extracted from the electroencephalogram (EEG) during ...
    • BEACON: An Efficient SAT-Based Tool for Debugging EL+ Ontologies 

      Arif MF; Mencía C; Ignatiev A; Manthey N; Peñaloza R; Marques-Silva J (Springer-Verlag, 2016)
      Description Logics (DLs) are knowledge representation and reasoning formalisms used in many settings. Among them, the EL family of DLs stands out due to the availability of polynomial-time inference algorithms and its ...
    • Beales Hotels: Embracing change while minding their own business for over 200 years 

      De Massis A; Discua Cruz A; Jackson J; Kotlar J; Mazzelli A (Babson College Centre for Entrepreneurship, 2014)
      When a family business survives eight generations, they’re doing something right. The Beales family bakery in the 1790s evolved into what is now a luxury hotel company with a continually refined recipe for success. Part ...