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LREC
2010
206views Education» more  LREC 2010»
13 years 6 months ago
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
In this paper we evaluate the performance of multilabel classification algorithms on the EUR-Lex database of legal documents of the European Union. On the same set of underlying d...
Eneldo Loza Mencía, Johannes Fürnkranz
TNN
2010
176views Management» more  TNN 2010»
12 years 11 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
DCAI
2008
13 years 6 months ago
Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles
. In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodolo...
Aitor Mata, Emilio Corchado, Bruno Baruque
ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
13 years 11 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof