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» Dimensionality Reduction for Text using Domain Knowledge
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ICML
2010
IEEE
15 years 25 days ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
CIKM
2008
Springer
15 years 1 months ago
On low dimensional random projections and similarity search
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
Yu-En Lu, Pietro Liò, Steven Hand
DEXA
2008
Springer
187views Database» more  DEXA 2008»
15 years 1 months ago
Description Logic to Model a Domain Specific Information Retrieval System
In professional environments which are characterized by a domain (Medicine, Law, etc.), information retrieval systems must be able to process precise queries, mostly because of the...
Saïd Radhouani, Gilles Falquet, Jean-Pierre C...
DMIN
2006
114views Data Mining» more  DMIN 2006»
15 years 1 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
IAAI
2001
15 years 1 months ago
An Open Architecture for Multi-Domain Information Extraction
This paper presents a multi-domain information extraction system. The overall architecture of the system is detailed. A set of machine learning tools helps the expert to explore t...
Thierry Poibeau