REDUCING DECISION TREE ENSEMBLE SIZE USING PARALLEL DECISION DAGS
نویسندگان
چکیده
منابع مشابه
Reducing Decision Tree Ensemble Size Using Parallel Decision DAGs
This research presents a new learning model, the Parallel Decision DAG (PDDAG), and shows how to use it to represent an ensemble of decision trees while using significantly less storage. Ensembles such as Bagging and Boosting have a high probability of encoding redundant data structures, and PDDAGs provide a way to remove this redundancy in decision tree based ensembles. When trained by encodin...
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ژورنال
عنوان ژورنال: International Journal on Artificial Intelligence Tools
سال: 2009
ISSN: 0218-2130,1793-6349
DOI: 10.1142/s0218213009000305