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KES
2006
Springer
14 years 11 months ago
Genetic-Fuzzy Modeling on High Dimensional Spaces
In this paper, in order to reduce the explosive increase of the search space as the input dimension grows, we present a new representation method for the structure of fuzzy rules, ...
Joon-Min Gil, SeongHoon Lee
SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
15 years 11 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
ADC
2003
Springer
123views Database» more  ADC 2003»
15 years 4 months ago
A Distance-Based Packing Method for High Dimensional Data
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...
Tae-wan Kim, Ki-Joune Li
PR
2006
116views more  PR 2006»
14 years 11 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
JMLR
2010
101views more  JMLR 2010»
14 years 5 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...