Search

Abstract: Statistical approaches to Artificial Intelligence are behind most success stories of the field in the past decade. The idea of generating non-trivial behaviour by analysing vast amounts of data has enabled recommendation systems, search engines, spam filters, optical character recognition, machine translation and speech recognition, among other things. As we celebrate the spectacular achievements of this line of research, we need to assess its full potential and its limitations. What are the next steps to take towards machine intelligence? [Copyright &y& Elsevier]

Highlights: [•] An efficient method to classify large streams of documents is proposed. [•] Text representation and multi-label classification are both performed online. [•] The system guarantees bounded memory usage and constant processing time. [•] The system approximates the TF IDF representation online without corpus wise computations. [•] In terms of accuracy, the method is better or comparable to a periodically recomputed SVM. [Copyright &y& Elsevier]