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» Solving Hierarchical Optimization Problems Using MOEAs
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122
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ECAI
2010
Springer
15 years 4 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng
ICDE
2005
IEEE
135views Database» more  ICDE 2005»
16 years 4 months ago
Finding (Recently) Frequent Items in Distributed Data Streams
We consider the problem of maintaining frequency counts for items occurring frequently in the union of multiple distributed data streams. Na?ive methods of combining approximate f...
Amit Manjhi, Vladislav Shkapenyuk, Kedar Dhamdhere...
122
Voted
ICCS
2004
Springer
15 years 8 months ago
Evolutionary State Assignment for Synchronous Finite State Machines
: Synchronous finite state machines are very important for digital sequential designs. Among other important aspects, they represent a powerful way for synchronizing hardware comp...
Nadia Nedjah, Luiza de Macedo Mourelle
140
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KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 3 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
COR
2007
106views more  COR 2007»
15 years 3 months ago
On a stochastic sequencing and scheduling problem
We present a framework for solving multistage pure 0–1 programs for a widely used sequencing and scheduling problem with uncertainty in the objective function coefficients, the...
Antonio Alonso-Ayuso, Laureano F. Escudero, M. Ter...