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TCAD
2008
116views more  TCAD 2008»
13 years 9 months ago
Scalable Synthesis and Clustering Techniques Using Decision Diagrams
BDDs have proven to be an efficient means to represent and manipulate Boolean formulae [1] and sets [2] due to their compactness and canonicality. In this work, we leverage the eff...
Andrew C. Ling, Jianwen Zhu, Stephen Dean Brown
SEMWEB
2007
Springer
14 years 3 months ago
Data Mining to Support Engineering Design Decision
The design and maintenance of an aero-engine generates a significant amount of documentation. When designing new engines, engineers must obtain knowledge gained from maintenance o...
Pooja Jadhav, Sylvia C. Wong, Gary B. Wills, Richa...
CP
2011
Springer
12 years 9 months ago
Algorithm Selection and Scheduling
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed algorithm selection methods come ever closer to identifyin...
Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, ...
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
14 years 9 months ago
A microeconomic data mining problem: customer-oriented catalog segmentation
The microeconomic framework for data mining [7] assumes that an enterprise chooses a decision maximizing the overall utility over all customers where the contribution of a custome...
Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
CPAIOR
2008
Springer
13 years 11 months ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck