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» Decision Tree Pruning as a Search in the State Space
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ATAL
2007
Springer
14 years 1 months ago
A Q-decomposition and bounded RTDP approach to resource allocation
This paper contributes to solve effectively stochastic resource allocation problems known to be NP-Complete. To address this complex resource management problem, a Qdecomposition...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
AAAI
1996
13 years 8 months ago
Exploiting Graph Properties of Game Trees
The state space of most adversary games is a directed graph. However, due to the success of simple recursive algorithms based on Alpha-Beta, theoreticians and practitioners have c...
Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de...
EDBT
2000
ACM
13 years 11 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
IFM
2009
Springer
124views Formal Methods» more  IFM 2009»
14 years 2 months ago
Dynamic Path Reduction for Software Model Checking
We present the new technique of dynamic path reduction (DPR), which allows one to prune redundant paths from the state space of a program under verification. DPR is a very general...
Zijiang Yang, Bashar Al-Rawi, Karem Sakallah, Xiao...
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
14 years 7 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang