Abstract. Policies, sets of rules that govern permission to access resources, have long been used in computer security and online privacy management; however, the usability of auth...
Robert W. Reeder, Clare-Marie Karat, John Karat, C...
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
We present a new local approximation algorithm for computing MAP and logpartition function for arbitrary exponential family distribution represented by a finite-valued pair-wise ...
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
This paper identifies mechanisms that affected over 200 Information System Process Innovation (ISPI) unlearning decisions in three organisational environments over a period that s...