: This paper introduces a tailored procedure model to construct reference models by using rich empirical data. The procedure model has been built based on requirements from the pub...
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Software cost estimation is known to be a challenging task at best, and these challenges are increased for programmers operating outside the support of an established team program...
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...