We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitive...
Dawei Song, Peter Bruza, Zi Huang, Raymond Y. K. L...
cessary to abstract it and eliminate the redundancy data. In this context, a method for data reduction based on the formal concept analysis is proposed in [16,17]. At the same time...
This paper deals with the problem of synchronization in the particular case of audio data hiding. In this kind of application the goal is to increase the information of an audio d...
In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. In this model, we treat documents as \disorders" an...
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...