1405 search results - page 150 / 281 » Learning Instance-Specific Predictive Models |
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
CGO
2009
IEEE
14 years 3 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
ML
2010
ACM
13 years 3 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
ICML
2009
IEEE
14 years 3 months ago
2009
IEEE
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
SAT
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...