In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Case-based reasoning (CBR) aims at using experience from the past in order to guide future problem solving rather than “starting from scratch” every time. We propose a CBR stra...
Standard client-server workflow management systems have an intrinsic scalability limitation, the central server, which represents a bottleneck for large-scale applications. This s...
Roberto Silveira Silva Filho, Jacques Wainer, Edmu...
In this paper, we present a technique for reducing the overhead of collecting path profiles in the context of a dynamic optimizer. The key idea to our approach, called Targeted Pa...
Prior work on TLB power optimization considered circuit and architectural techniques. A recent software-based technique for data TLBs has considered the possibility of storing the...