Digital libraries are more and more available on the web. However, retrieving information in these libraries is not easy because of sources heterogeneity and distribution. Thus, w...
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...
The information is at the present time often saved and available in electronic form. With still increasing quantity of accessible, most frequently text information, the need of or...
Milan Gudaba, Stanislav Horal, Ladislav Izakovic, ...