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MLDM
2007
Springer
15 years 3 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
AAAI
2010
14 years 11 months ago
Compilation Complexity of Common Voting Rules
In computational social choice, one important problem is to take the votes of a subelectorate (subset of the voters), and summarize them using a small number of bits. This needs t...
Lirong Xia, Vincent Conitzer
BMCBI
2006
129views more  BMCBI 2006»
14 years 9 months ago
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps
Background: Protein sequence alignment is one of the basic tools in bioinformatics. Correct alignments are required for a range of tasks including the derivation of phylogenetic t...
Tomas Ohlson, Varun Aggarwal, Arne Elofsson, Rober...
ACL
2006
14 years 11 months ago
An All-Subtrees Approach to Unsupervised Parsing
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
Rens Bod
INFFUS
2007
117views more  INFFUS 2007»
14 years 9 months ago
Pixel-based and region-based image fusion schemes using ICA bases
The task of enhancing the perception of a scene by combining information captured by different sensors is usually known as image fusion. The pyramid decomposition and the Dual-Tr...
Nikolaos Mitianoudis, Tania Stathaki