Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
Martin Persson, Tom Duckett, Christoffer Valgren, ...
In the paper we study the efficiency of semantic concept association in multimedia semantic concept detection. We present an approach to automatically learn from the corpus the as...