An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
The purpose of this study is to consider how to use an electronic learning (e-learning) system in engineering design. The first e-learning trial in an engineering design course wa...
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
The main purpose behind the design of this experience is the idea of obtaining useful information to know how the online courses in our University have been developed, and trying t...