Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Abstract. The paper proposes a method to improve the extraction of lowfrequency translation equivalents from comparable corpora. Prior to performing the mapping between vector spac...
Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, Andr...
A method dealing with recognition of partially occluded and affine transformed binary objects is presented. The method is designed for objects with smooth curved boundary. It divi...
This paper considers the problem of balanced model reduction for a class of distributed parameter systems. The system is assumed to have a finite-dimensional state vector as well ...
S. O. Reza Moheimani, Hemanshu Roy Pota, Ian R. Pe...
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...