Advances in authoring of adaptive web-based systems

In this paper, two new approaches based on the equivalence between FPCA of basis expansion of the sample curves and PCA of a transformation of the matrix of basis coefficients

A method based on a cross-cultural adaptation, that would allow it to maintain a validity and reliability similar to the original instrument: translate and adapt the VAL-ED from

Automating the learning of agent-based dialog managers by using statistical models trained with real conversations also allows us to model the variability in user behaviors and

In this paper we propose the use of a central hardware device that can be used with existing CAN-Bus systems for the communication of the system devices and its external

This work proposes a multi-agent Knowledge-based recommendation model for adaptive LO, according to the stu- dent's profile and prior knowledge, using metadata clustering..

Considering the adequacy of agent systems for the simulation of language evolution, in (Jiménez-López, 2012) we introduce a formal-language-theoretic multi-agent model based

Train: All the models (T-HMM, adaptive T- HMM, Naive Bayes, k-NN and a SVM) are trained with the training corpus created in the preprocessing step.. Learn: In the case of the

This paper presents a survey of AmI applications based in the domains and technologies involved with the aim of to show the awareness of privacy issues in AmI and to identify