This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Abstract. Our work analyzes the usefulness of microblogging in second language learning using the example of the social network Twitter. Most learners of English do not require eve...
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...