Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
This paper studies a queuing model in which a buyer sources a good or service from an single supplier chosen from a pool of suppliers. The buyer seeks to minimize the sum of her p...
Since processor performance scalability will now mostly be achieved through thread-level parallelism, there is a strong incentive to parallelize a broad range of applications, inc...
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Orthophotos (or orthoimages if in digital form) have long been recognised as a supplement or alternative to standard maps. The increasing applications of orthoimages require effor...
Xiaoye Liu, Zhenyu Zhang, Jim Peterson, Shobhit Ch...