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  1. Chapter and Conference Paper

    Discriminative Interpolation for Classification of Functional Data

    The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space

    Rana Haber, Anand Rangarajan in Machine Learning and Knowledge Discovery i… (2015)

  2. Chapter and Conference Paper

    Managing Process Model Collections with AProMoRe

    As organizations reach higher levels of Business Process Management maturity, they tend to collect numerous business process models. Such models may be linked with each other or mutually overlap, supersede one...

    M. C. Fauvet, M. La Rosa, M. Sadegh, A. Alshareef in Service-Oriented Computing (2010)

  3. Chapter and Conference Paper

    Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks

    Monitoring the variables of real world dynamical systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over th...

    Eva Besada-Portas, Sergey M. Plis in Machine Learning and Knowledge Discovery i… (2010)

  4. Chapter and Conference Paper

    Liquid Course Artifacts Software Platform

    Liquid Course Artifacts Software Platform aims to improve social productivity and enhance interactive experience for teaching and collaborating by using suppliment materials such as slides, exercises, audios, ...

    Marcos Baez, Boualem Benatallah, Fabio Casati, Van M. Chhieng in Service-Oriented Computing (2010)

  5. Chapter and Conference Paper

    Incorporating Expectations as a Basis for Business Service Selection

    The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectations of the participants. Specifically, ...

    Adel M. ElMessiry, **bin Gao, Munindar P. Singh in Service-Oriented Computing (2010)