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CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 5 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
EC
2011
240views ECommerce» more  EC 2011»
13 years 9 days ago
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
Abstract—In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with ...
Johannes Bader, Eckart Zitzler
MDM
2010
Springer
188views Communications» more  MDM 2010»
13 years 3 months ago
A Distributed Technique for Dynamic Operator Placement in Wireless Sensor Networks
—We present an optimal distributed algorithm to adapt the placement of a single operator in high communication cost networks, such as a wireless sensor network. Our parameterfree...
Georgios Chatzimilioudis, Nikos Mamoulis, Dimitrio...
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
13 years 10 months ago
Towards drift correction in chemical sensors using an evolutionary strategy
Gas chemical sensors are strongly affected by the so-called drift, i.e., changes in sensors’ response caused by poisoning and aging that may significantly spoil the measures g...
Stephano Di Carlo, Ernesto Sánchez, Alberto...
ICML
2009
IEEE
14 years 6 months ago
Bandit-based optimization on graphs with application to library performance tuning
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
Arpad Rimmel, Frédéric de Mesmay, Ma...