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ECAI
2008
Springer
13 years 10 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
ML
2007
ACM
130views Machine Learning» more  ML 2007»
13 years 8 months ago
Interactive learning of node selecting tree transducer
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
Julien Carme, Rémi Gilleron, Aurélie...
IS
2011
13 years 4 months ago
Optimized query routing trees for wireless sensor networks
In order to process continuous queries over Wireless Sensor Networks (WSNs), sensors are typically organized in a Query Routing Tree (denoted as T) that provides each sensor with ...
Panayiotis Andreou, Demetrios Zeinalipour-Yazti, A...
VLDB
2002
ACM
133views Database» more  VLDB 2002»
14 years 9 months ago
Tree pattern query minimization
: Purpose ? Tree pattern is at the core of XML queries. The tree patterns in XML queries typically contain redundancies, especially when broad integrity constraints (ICs) are prese...
Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshman...
CIDM
2009
IEEE
14 years 3 months ago
Evolving decision trees using oracle guides
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
Ulf Johansson, Lars Niklasson