Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
During software requirements analysis and design steps, developers and stakeholders have many alternatives of artifacts such as software component selection and should make decisi...
A fast inter-prediction mode decision and motion search algorithm is proposed for the H.264 video coding standard. The multi-resolution motion estimation scheme and an adaptive ra...
This paper presents an overview of the motivation for, and the use of time-series data mining in, a Geospatial Decision Support System (GDSS). Our approach is based on a combinati...
Dan Li, Sherri K. Harms, Steve Goddard, William J....