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COLING
2008
13 years 11 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
SCANGIS
2001
13 years 11 months ago
Improving relief classification with contextual merging
Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algor...
Bård Romstad
ACL
2009
13 years 8 months ago
Generalizing over Lexical Features: Selectional Preferences for Semantic Role Classification
This paper explores methods to alleviate the effect of lexical sparseness in the classification of verbal arguments. We show how automatically generated selectional preferences ar...
Beñat Zapirain, Eneko Agirre, Lluís ...
CIARP
2003
Springer
14 years 2 months ago
Uniclass and Multiclass Connectionist Classification of Dialogue Acts
Classification problems are traditionally focused on uniclass samples, that is, each sample of the training and test sets has one unique label, which is the target of the classific...
María José Castro Bleda, David Vilar...
KAIS
2006
121views more  KAIS 2006»
13 years 10 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara