Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
—We introduce a new tool for approximation and testing algorithms called partitioning oracles. We develop methods for constructing them for any class of bounded-degree graphs wit...
Avinatan Hassidim, Jonathan A. Kelner, Huy N. Nguy...
We present an approach and implementation for run-time correlation of large volumes of log data and symptom matching of know issues in the context of large enterprise applications...
Viliam Holub, Trevor Parsons, Patrick O'Sullivan, ...
Several difficulties arise when testing network security algorithms. First, using network data captured at a router does not guarantee that any instances of the security event of...