Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
This paper discusses the challenges and proposes a solution to performing information retrieval on the Web using Chinese natural language speech query. The main contribution of th...
The European MIAMM-project (Multidimensional Information Access using Multiple Modalities) develops new concepts and techniques for multimodal dialogs that allow for fast and natu...
Myra P. van Esch-Bussemakers, Anita H. M. Cremers,...
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...