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CIKM
2006
Springer
15 years 1 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
ICDAR
2009
IEEE
15 years 4 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
15 years 10 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
CVPR
2004
IEEE
15 years 11 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
ISMDA
2005
Springer
15 years 3 months ago
Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng