Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
This paper presents ABLO, a first-attempt at engineering a more active learning object based on agent technologies that allows more sophisticated kinds of learning object reuse tha...
Optimization algorithms for large margin multiclass recognizers are often too costly to handle ambitious problems with structured outputs and exponential numbers of classes. Optim...
The information collected regarding group activity in a collaborative learning environment requires classifying, structuring and processing. The aim is to process this information ...
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...