The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Abstract. Formal language learning models have been widely investigated in the last four decades. But it was not until recently that the model of learning from corrections was intr...
Some researches have used concept maps to support navigation in m-Learning applications. Nevertheless, as this navigation support is not very flexible, adaptation to learner chara...
Estimating the generalization error is one of the key ingredients of supervised learning since a good generalization error estimator can be used for model selection. An unbiased g...
In many real-world tasks there are abundant unlabeled examples but the number of labeled training examples is limited, because labeling the examples requires human efforts and exp...