In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
This paper presents the results of a user study carried out to evaluate an application prototype in which an audio-visual chat conversation between two users is augmented by pictu...
Jeroen Vanattenhoven, Christof van Nimwegen, Matth...
In this paper we view Lexicalized Tree Adjoining Grammars as the compilation of a tract and modular layer of linguistic description :the metagrammar (MG). MG provides a hierarchic...
Limitations in scope but also difficulties with the efficiency and scalability of present algorithms seem to have so far limited the industrial uptake of existing automated FMEA t...
Yiannis Papadopoulos, David Parker 0002, Christian...