Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
— This paper focuses on the design process of web prefetching algorithms. The main goal of prefetching techniques in web is to reduce user perceived latency. Since these techniqu...
Network resource management and control is a complex problem that requires robust, possibly intelligent, control methodologies to obtain satisfactory performance. While many Activ...
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
We present Mark-It, a marking user interface that reduced the time to decompose a set of CAD models exhibiting a range of decomposition problems by as much as fifty percent. Inst...
Nicholas C. Yang, Andrew S. Forsberg, Jason F. She...