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Extending the entry consistency model to enable efficient visualization for c...
This paper addresses the problem of efficient visualization of shared data within code coupling grid applications. These applications are structured as a set of... -
An ExpSpace Tableau-based Algorithm for SHOIQ
In this work, we propose an ExpSpace tableau-based algorithm for deciding consistency of a knowledge base in the description logic SHOIQ. The construction of this... -
Nearest neighbor classification in infinite dimension
Let $X$ be a random element in a metric space $(\calF,d)$, and let $Y$ be a random variable with value $0$ or $1$. $Y$ is called the class, or the label, of $X$.... -
A Fault-Tolerant Transparent Data Sharing Service for the Grid
We consider a transparent data sharing service for distributed applications in the Grid. Our service may alleviate the burden of the user and the programmer to manage... -
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis
This paper is an improved version of \cit in which we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results... -
Consistency of the posterior distribution and MLE for piecewise linear regres...
We prove the weak consistency of the posterior distribution and that of the Bayes estimator for a two-phase piecewise linear regression mdoel where the break-point is... -
Governance and Analysis of Business Processes Change Impact on Service Orient...
Most companies evolve in competitive markets by quickly adapting their business processes. Their performance depends on their capability to adopt continuous... -
Is a public regulation of food price volatility feasible in Africa? An arch a...
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Contribution to the continuity of information and knowledge flows in the desi...
In the context of digital information revolution, the companies should propose in a short time an innovative system with good quality and low cost, and this challenge... -
On 3D DDFV discretization of gradient and divergence operators. II. Discrete ...
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Cox process functional learning
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On the estimation of density-weighted average derivative by wavelet methods u...
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Ergodicity of observation-driven time series models and consistency of the ma...
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Normer pour mieux varier ? La différenciation comportementale par les normes,...
Driving simulators are used by car manufacturers to develop driver aid systems, and to carry out experiments on ergonomics, design, or drivers' behavior : the... -
Assessment of the consistency of ideal profiles according to non-ideal data f...
The Ideal Profile Method is a sensory method, in which consumers are asked to describe both the perceived and the ideal intensities on a list of attributes, as well as... -
Extension of the consistency of the data obtained with the Ideal Profile Meth...
The Ideal Profile Method is a sensory method in which, for each product tested, consumers are asked to rate both the perceived and ideal intensities of a list of... -
Nonlinear bounded-error state estimation of continuous-time systems
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Bandits Games and Clustering Foundations
This thesis takes place within the machine learning theory. In particular it focuses on three sub-domains, stochastic optimization, online learning and clustering.... -
On the parametric maximum likelihood estimator for independent but non-identi...
International audience
