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GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 2 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
JAVA
2001
Springer
15 years 2 months ago
Supporting dynamic parallel object arrays
We present efficient support for generalized arrays of parallel data driven objects. Array elements are regular C++ objects, and are scattered across the parallel machine. An indi...
Orion Sky Lawlor, Laxmikant V. Kalé
DAWAK
2000
Springer
15 years 2 months ago
COFE: A Scalable Method for Feature Extraction from Complex Objects
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...
Gabriela Hristescu, Martin Farach-Colton
AAIM
2008
Springer
208views Algorithms» more  AAIM 2008»
14 years 11 months ago
Large-Scale Parallel Collaborative Filtering for the Netflix Prize
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purc...
Yunhong Zhou, Dennis M. Wilkinson, Robert Schreibe...
ACL
2006
14 years 11 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang