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ALGORITHMICA
1999
99views more  ALGORITHMICA 1999»
13 years 9 months ago
Evolutionary Trees and Ordinal Assertions
Sequence data for a group of species is often summarized by a distance matrix M where M[s, t] is the dissimilarity between the sequences of species s and t. An ordinal assertion is...
Paul E. Kearney, Ryan Hayward, Henk Meijer
ICMLA
2010
13 years 7 months ago
An All-at-once Unimodal SVM Approach for Ordinal Classification
Abstract--Support vector machines (SVMs) were initially proposed to solve problems with two classes. Despite the myriad of schemes for multiclassification with SVMs proposed since ...
Joaquim F. Pinto da Costa, Ricardo Sousa, Jaime S....
IIR
2010
13 years 7 months ago
Selecting Features for Ordinal Text Classification
We present four new feature selection methods for ordinal regression and test them against four different baselines on two large datasets of product reviews.
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
14 years 3 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 11 months ago
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...
Alina Campan, Gabriela Serban, Traian Marius Truta...