We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
In this paper, we study the problem of single database private information retrieval, and present schemes with only logarithmic server-side communication complexity. Previously th...
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
Abstract. This working notes paper describes our first participation in the ImageCLEF2010 Wikipedia Retrieval Task[1]. In this task, we mainly test our Quantum Theory inspired retr...
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...