12943 search results - page 70 / 2589 » Predicting When Not to Predict |
CP
2006
Springer
14 years 20 days ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
ICMLA
2008
13 years 10 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
CDES
2006
13 years 10 months ago
2006
As the speed gap between CPU and I/O is getting wider and wider, I/O latency plays a more important role to the overall system performance than it used to be. Prefetching consecut...
NIPS
2003
13 years 10 months ago
2003
A major issue in evaluating speech enhancement and hearing compensation algorithms is to come up with a suitable metric that predicts intelligibility as judged by a human listener...
ECAI
2010
Springer
13 years 9 months ago
2010
Springer
Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...