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» Classification of Ordinal Data
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AROBOTS
2005
115views more  AROBOTS 2005»
15 years 28 days ago
Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation
Autonomous navigation in cross-country environments presents many new challenges with respect to more traditional, urban environments. The lack of highly structured components in t...
Roberto Manduchi, Andres Castano, A. Talukder, Lar...
126
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BMCBI
2004
112views more  BMCBI 2004»
15 years 26 days ago
A double classification tree search algorithm for index SNP selection
Background: In population-based studies, it is generally recognized that single nucleotide polymorphism (SNP) markers are not independent. Rather, they are carried by haplotypes, ...
Peisen Zhang, Huitao Sheng, Ryuhei Uehara
102
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IJPRAI
2000
62views more  IJPRAI 2000»
15 years 25 days ago
Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf
Abstract A knowledge-guided approach to automatic classification of Coastal Zone Color images of the West Florida Shelf is described. The approach is used to identify red tides on ...
Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof...
JMLR
2006
103views more  JMLR 2006»
15 years 29 days ago
Pattern Recognition for Conditionally Independent Data
In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
Daniil Ryabko
160
Voted
DATAMINE
2010
161views more  DATAMINE 2010»
14 years 10 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan