Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
Any automated decision support software must tailor its actions or recommendations to the preferences of different users. Thus it requires some representation of user preferences ...
This paper addresses two important challenges for current P2P systems, namely churn and selfishness. First, we report on a system [19] whose desirable properties (small peer degre...
Stefan Schmid, Fabian Kuhn, Thomas Moscibroda, Rog...
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...
This paper addresses the issue of designing embodied conversational agents that exhibit appropriate posture shifts during dialogues with human users. Previous research has noted t...
Justine Cassell, Yukiko I. Nakano, Timothy W. Bick...