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CGO
2009
IEEE
15 years 8 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
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...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
116
Voted
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 3 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
144
Voted
DEXA
2006
Springer
197views Database» more  DEXA 2006»
15 years 3 months ago
Cleaning Web Pages for Effective Web Content Mining
Classifying and mining noise-free web pages will improve on accuracy of search results as well as search speed, and may benefit webpage organization applications (e.g., keyword-bas...
Jing Li, Christie I. Ezeife
EDBT
2009
ACM
175views Database» more  EDBT 2009»
15 years 8 months ago
Towards materialized view selection for distributed databases
Materialized views (MV) can significantly improve the query performance of relational databases. In this paper, we consider MVs to optimize complex scenarios where many heterogen...
Leonardo Weiss Ferreira Chaves, Erik Buchmann, Fab...
144
Voted
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
15 years 9 days ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...