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...
In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate pr...
Abstract This article attempts to demystify computer vision for novice programmers through a survey of new applications in the arts, system design considerations, and contemporary ...
The pervasiveness of network technology is causing a shift in the location of digital evidence. What was once largely found on individual disks tied to single individuals is now b...
We implement statically-typed multi-holed contexts in OCaml using an underlying algebraic datatype augmented with phantom types. Existing approaches require dynamic checks or more...