Learning management systems are routinely used for presenting, solving and grading exercises with large classes. However, teachers are constrained to use questions with pre-defined...
Abstract—The adaptive ubiquitous services, which dynamically adapt behaviors to requirements and contexts, are one of the major challenges in the ubiquitous computing. To facilit...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
With the falling price of the memory, an increasing number of multimedia servers and proxies are now equipped with a large memory space. Caching media objects in the memory of a p...
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...