Internet of things devices have become highly popular thanks to the services they offer. However, also raise privacy concerns since share fine-grained time-series user data with untrusted third parties. We model users personal information as secret variable, be kept private from an honest-but-curious service provider, and useful disclosed for utility. consider active learning framework, where o...

In this paper, we present a fast algorithm to answer rangesum queries in OLAP data cubes. Our algorithm supports constanttime queries while maintaining sub-linear time update and using minimum space. Furthermore, we study the trade-off between query time and update time. The complexity for query is O(2) and for updates O((2 2 l √ n)) on a data cube of n elements, where l is a trade-off paramete...

40 For decisions made under time pressure, effective decision making based on 41 uncertain or ambiguous evidence requires efficient accumulation of evidence 42 over time, as well as appropriately balancing speed and accuracy, known as the 43 speed/accuracy trade-off. For simple unimodal stimuli, previous studies have 44 shown that human subjects set their speed/accuracy trade-off to maximize 45...

Optimality models collapse the vagaries of genetics into simple trade-offs to calculate phenotypes expected to evolve by natural selection. Optimality approaches are commonly criticized for this neglect of genetic details, but resolution of this disagreement has been difficult. The importance of genetic details may be tested by experimental evolution of a trait for which an optimality model exi...