We present a general method of designing fast approximation algorithms for cut-based minimization problems in undirected graphs. In particular, we develop a technique that given a...
A mathematical model for cancer treatment that includes immunological activity is considered as an optimal control problem. In the uncontrolled system there exist both a region of ...
Urszula Ledzewicz, Mohammad Naghnaeian, Heinz Sch&...
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
We show a method for parallelizing top down dynamic programs in a straightforward way by a careful choice of a lock-free shared hash table implementation and randomization of the ...
Alex Stivala, Peter J. Stuckey, Maria Garcia de la...