Sciweavers

70 search results - page 3 / 14
» Evaluating Iterative Optimization across 1000 Data Sets
Sort
View
HIPEAC
2009
Springer
14 years 1 months ago
Collective Optimization
Abstract. Iterative compilation is an efficient approach to optimize programs on rapidly evolving hardware, but it is still only scarcely used in practice due to a necessity to gat...
Grigori Fursin, Olivier Temam
PODS
2008
ACM
221views Database» more  PODS 2008»
14 years 6 months ago
A generic flow algorithm for shared filter ordering problems
We consider a fundamental flow maximization problem that arises during the evaluation of multiple overlapping queries defined on a data stream, in a heterogenous parallel environm...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
PRL
2006
139views more  PRL 2006»
13 years 6 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 10 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
LREC
2008
88views Education» more  LREC 2008»
13 years 7 months ago
An Infrastructure, Tools and Methodology for Evaluation of Multicultural Name Matching Systems
This paper describes a Name Matching Evaluation Laboratory that is a joint effort across multiple projects. The lab houses our evaluation infrastructure as well as multiple name m...
Keith J. Miller, Mark Arehart, Catherine Ball, Joh...