1196 search results - page 135 / 240 » Using Machine Learning Techniques to Combine Forecasting Met... |
CC
2006
Springer
14 years 29 days ago
2006
Springer
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
EMNLP
2008
13 years 10 months ago
2008
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
ICAIL
2003
ACM
14 years 2 months ago
2003
ACM
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...