This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
We consider the problem of recovering from failures of distributable threads with assured timeliness. When a node hosting a portion of a distributable thread fails, it causes orph...
Edward Curley, Jonathan Stephen Anderson, Binoy Ra...
The increasingly complicated DSP processors and applications with strict timing and code size constraints require design automation tools to consider multiple optimizations such a...
Qingfeng Zhuge, Chun Xue, Zili Shao, Meilin Liu, M...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...