Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
Research on modelling affect and on interfaces adaptation based on affective factors has matured considerably over the past several years, so that designers of educational product...
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
This paper presents our experience in providing students with the best course material possible for the distance learning system at the University of Bucharest. We adapted each ye...
Mihaela Gheorghe, Michaela Logofatu, Daniel Horhoc...
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...