Introductory computer science classes are known for having a high attrition rate. Some authors believe this is due to students’ difficulties in establishing a mental model of co...
Various cognitive and computational models have addressed the use of previous experience to understand a new domain. In particular, research in case-based reasoning has explored t...
This paper analyzes conditions for improving digital inclusion in Chilean rural schools, using a multidimensional definition of digital divide. Using qualitative and quantitative ...
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...