To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Abstract. In this paper, we look at initial results of data mining students’ help-seeking behaviour in two ITSs: SQL-Tutor and EER-Tutor. We categorised help given by these tutor...
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
In self-adaptive systems components are dynamically modified according to the execution environment requirement, where each component is a probable point of failure. Existing appr...