Sciweavers

39 search results - page 2 / 8
» Clustering Words with the MDL Principle
Sort
View
CORR
2002
Springer
126views Education» more  CORR 2002»
13 years 5 months ago
Unsupervised Discovery of Morphemes
We present two methods for unsupervised segmentation of words into morphemelike units. The model utilized is especially suited for languages with a rich morphology, such as Finnis...
Mathias Creutz, Krista Lagus
IPMU
2010
Springer
13 years 3 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
DIS
2007
Springer
13 years 11 months ago
Fast NML Computation for Naive Bayes Models
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Tommi Mononen, Petri Myllymäki
LREC
2010
196views Education» more  LREC 2010»
13 years 6 months ago
An Evaluation of Predicate Argument Clustering using Pseudo-Disambiguation
Schulte im Walde et al. (2008) presented a novel approach to semantic verb classication. The predicate argument model (PAC) presented in their paper models selectional preferences...
Christian Scheible
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
14 years 5 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...