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GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
13 years 11 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
AAAI
2008
13 years 8 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
IJON
2006
78views more  IJON 2006»
13 years 5 months ago
Improving self-organization of document collections by semantic mapping
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
Renato Fernandes Corrêa, Teresa Bernarda Lud...
LREC
2008
150views Education» more  LREC 2008»
13 years 7 months ago
Causal Relation Extraction
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
Eduardo Blanco, Núria Castell, Dan I. Moldo...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 6 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong