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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 6 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
179
Voted
SBRN
2008
IEEE
15 years 9 months ago
Multi-label Text Categorization Using VG-RAM Weightless Neural Networks
In automated multi-label text categorization, an automatic categorization system should output a category set, whose size is unknown a priori, for each document under analysis. Ma...
Claudine Badue, Felipe Pedroni, Alberto Ferreira d...
142
Voted
ECML
2005
Springer
15 years 8 months ago
Simple Test Strategies for Cost-Sensitive Decision Trees
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
Shengli Sheng, Charles X. Ling, Qiang Yang
117
Voted
ACL
2008
15 years 4 months ago
Phrase Chunking Using Entropy Guided Transformation Learning
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Ruy Luiz Milidiú, Cícero Nogueira do...
CVPR
2009
IEEE
15 years 12 days ago
Learning IMED via shift-invariant transformation
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
Bing Sun, Jufu Feng, Liwei Wang