In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
– Many embedded system designs usually impose (hard) read-time constraints on tasks. Thus, computing a tight upper bound of the worst case execution time (WCET) of a software is ...
A biometric system for user authentication produces a matching score representing the degree of similarity of the input biometry with the set of templates for that user. If the sc...
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...