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» Dimensionality Reduction for Text using Domain Knowledge
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ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
15 years 2 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
ICML
2000
IEEE
15 years 10 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
ISMIS
2011
Springer
14 years 11 days ago
Evaluation of Feature Combination Approaches for Text Categorisation
Text categorisation relies heavily on feature selection. Both the possible reduction in dimensionality as well as improvements in classification performance are highly desirable. ...
Robert Neumayer, Kjetil Nørvåg
LREC
2008
103views Education» more  LREC 2008»
14 years 11 months ago
From Field Notes towards a Knowledge Base
We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitise...
Piroska Lendvai, Steve Hunt
ASPDAC
1995
ACM
79views Hardware» more  ASPDAC 1995»
15 years 1 months ago
Search space reduction in high level synthesis by use of an initial circuit
Most existing high-level synthesis(HLS) systems attempt to generate a circuit from a behavioral description \out of the void", using the entire design space as the search dom...
Atsushi Masuda, Hiroshi Imai, Jeffery P. Hansen, M...