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» Dimensionality Reduction for Text using Domain Knowledge
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ICML
2010
IEEE
14 years 10 months 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
14 years 11 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»
14 years 11 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...
72
Voted
DMIN
2006
114views Data Mining» more  DMIN 2006»
14 years 11 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
14 years 11 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