Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Concept lattices built on noisy data tend to be large and hence hard to interpret. We introduce several measures that can be used in selecting relevant concepts and discuss how the...
Mikhail Klimushkin, Sergei A. Obiedkov, Camille Ro...
A paradigm for music expression understanding based on a joint semantic space, described by both affective and sensorial adjectives, is presented. Machine learning techniques were...
In MRI research labs, algorithms are typically implemented in MATLAB or IDL. If performance is an issue they are ported to C and integrated with interpreted systems, not fully uti...
Aleksander B. Demko, Rodrigo A. Vivanco, Nicolino ...
References included in multi-document summaries are often problematic. In this paper, we present a corpus study performed to derive a statistical model for the syntactic realizati...