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» Machine Learning for Information Extraction
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IAAI
2001
13 years 6 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
ICML
2009
IEEE
14 years 5 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
JMLR
2010
95views more  JMLR 2010»
12 years 11 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov