The research field of "extracting knowledge bases from text collections" seems to be mature: its target and its working hypotheses are clear. In this paper we propose a ...
We report on an exploratory, qualitative user study designed to identify users' goals underlying podcast search, the strategies used to gain access to podcasts, and how curre...
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private databases. We focus on privacy-preserving logisti...
Motivated by previous work on XML stream processing, we noticed that programmers need concurrency to save space, especially in a lazy language. User-controllable concurrency provi...