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» Sampling Methods for Unsupervised Learning
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133
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NAACL
2010
15 years 13 days ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar
144
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CIDM
2009
IEEE
15 years 9 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
120
Voted
DEXAW
2008
IEEE
185views Database» more  DEXAW 2008»
15 years 9 months ago
Axiom-Based Feedback Cycle for Relation Extraction in Ontology Learning from Text
—The ontology learning from text cycle consists of the consecutive phases of term, synonym, concept, taxonomy and relation extraction. In this paper, a proposal towards the unsup...
Witold Abramowicz, Maria Vargas-Vera, Marek Wisnie...
126
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KBS
2006
150views more  KBS 2006»
15 years 2 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang
ICCV
2001
IEEE
16 years 4 months ago
Example-Based Facial Sketch Generation with Non-parametric Sampling
In this paper, we present an example-based facial sketch system. Our system automatically generates a sketch from an input image, by learning from example sketches drawn with a pa...
Hong Chen, Ying-Qing Xu, Heung-Yeung Shum, Song Ch...