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» Transfer Learning in Decision Trees
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IJPRAI
2010
57views more  IJPRAI 2010»
13 years 2 months ago
Learning Decision Trees with log Conditional Likelihood
Han Liang, Yuhong Yan, Harry Zhang
ICTAI
1999
IEEE
14 years 2 days ago
Controlled Flux Results in Stable Decision Trees
This work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillat...
Dimitrios Kalles, Athanassios Papagelis
ICMLA
2009
13 years 5 months ago
Multiagent Transfer Learning via Assignment-Based Decomposition
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
Scott Proper, Prasad Tadepalli
PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
14 years 1 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
JMLR
2002
102views more  JMLR 2002»
13 years 7 months ago
Efficient Algorithms for Decision Tree Cross-validation
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Hendrik Blockeel, Jan Struyf