We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within...
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
We expand the scope of peer-to-peer (P2P) systems to include the concept of “communities”. Communities are analogous to interest groups and can overlap. We use communities as ...
We present an approach for optimizing the performance of information agents by materializing useful information . A critical problem with information agents, particularly those ga...