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» Unsupervised Named Entity Classification Models and their En...
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IJCAI
2001
13 years 8 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
AIPR
2002
IEEE
14 years 11 days ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
WOB
2008
101views Bioinformatics» more  WOB 2008»
13 years 8 months ago
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions
Abstract. Despite the recent advances in Molecular Biology, the function of a large amount of proteins is still unknown. An approach that can be used in the prediction of a protein...
Eduardo P. Costa, Ana Carolina Lorena, André...
COLING
2010
13 years 2 months ago
Open Entity Extraction from Web Search Query Logs
In this paper we propose a completely unsupervised method for open-domain entity extraction and clustering over query logs. The underlying hypothesis is that classes defined by mi...
Alpa Jain, Marco Pennacchiotti
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 7 months ago
Structured entity identification and document categorization: two tasks with one joint model
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...