Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labe...
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriy...
This paper presents a new method called Transition-based RRT (T-RRT) for path planning problems in continuous cost spaces. It combines the exploration strength of the RRT algorith...
We define a new model called O-PRS that extends the Process Rewrite Systems formalism with a new associative operator, “ ”, that allows to model parallel composition while ke...
Buffer insertion seeks to place buffers on the wires of a signal net to minimize delay. Van Ginneken [14] proposed an optimal dynamic programming solution (with extensions propose...