Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Abstract. Attention, which intervenes at many different levels such as the perception of the environment and the allocation of cognitive resources, appears to represent one of the ...
Among the existing web-based Learning Management Systems (LMSs), there is an exponentially increasing need of content interoperability. This has caused the apparition of different ...