Background: Computational methods for problem solving need to interleave information access and algorithm execution in a problem-specific workflow. The structures of these workflo...
Abstract. This paper evaluates the power of a new scheme that generates search heuristics mechanically. This approach was presented and evaluated rst in the context of optimization...
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
This paper addresses the problem of computing planar patterns for compression garments. In the garment industry, the compression garment has been more and more widely used to reta...
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Y...