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ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 25 days ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
KI
2007
Springer
13 years 7 months ago
Solving Decentralized Continuous Markov Decision Problems with Structured Reward
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Emmanuel Benazera
AAAI
2006
13 years 9 months ago
Decision Tree Methods for Finding Reusable MDP Homomorphisms
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
Alicia P. Wolfe, Andrew G. Barto
LPAR
2001
Springer
13 years 12 months ago
Boolean Functions for Finite-Tree Dependencies
Several logic-based languages, such as Prolog II and its successors, SICStus Prolog and Oz, offer a computation domain including rational trees. Infinite rational trees allow fo...
Roberto Bagnara, Enea Zaffanella, Roberta Gori, Pa...
ICDE
2009
IEEE
151views Database» more  ICDE 2009»
14 years 9 months ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...