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» Feature Subset Selection Using a Genetic Algorithm
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131
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CEC
2007
IEEE
15 years 4 months ago
Hybrid optimization using DIRECT, GA, and SQP for global exploration
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki
139
Voted
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 5 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
141
Voted
ACIVS
2008
Springer
15 years 4 months ago
A Fast and Fully Automatic Ear Recognition Approach Based on 3D Local Surface Features
Sensitivity of global features to pose, illumination and scale variations encouraged researchers to use local features for object representation and recognition. Availability of 3D...
Syed M. S. Islam, Rowan Davies, Ajmal S. Mian, Moh...
WABI
2004
Springer
15 years 8 months ago
Reconstructing Ancestral Gene Orders Using Conserved Intervals
Conserved intervals were recently introduced as a measure of similarity between genomes whose genes have been shuffled during evolution by genomic rearrangements. Phylogenetic reco...
Anne Bergeron, Mathieu Blanchette, Annie Chateau, ...
130
Voted
ATAL
2007
Springer
15 years 8 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone