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ICCBR
1997
Springer
14 years 1 months ago
Examining Locally Varying Weights for Nearest Neighbor Algorithms
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Nicholas Howe, Claire Cardie
ICDM
2003
IEEE
178views Data Mining» more  ICDM 2003»
14 years 2 months ago
Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data
Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dime...
Qi Li, Jieping Ye, Chandra Kambhamettu
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
14 years 2 months ago
Population Sizing Based on Landscape Feature
Abstract. Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes’ ruggedness and Probably ...
Jian Zhang, Xiaohui Yuan, Bill P. Buckles
BMCBI
2011
13 years 4 months ago
ASPDock: protein-protein docking algorithm using atomic solvation parameters model
Background: Atomic Solvation Parameters (ASP) model has been proven to be a very successful method of calculating the binding free energy of protein complexes. This suggests that ...
Lin Li, Dachuan Guo, Yangyu Huang, Shiyong Liu, Yi...
PVLDB
2010
225views more  PVLDB 2010»
13 years 3 months ago
Efficient Processing of Top-k Spatial Preference Queries
Top-k spatial preference queries return a ranked set of the k best data objects based on the scores of feature objects in their spatial neighborhood. Despite the wide range of loc...
João B. Rocha-Junior, Akrivi Vlachou, Chris...