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GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 11 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
STOC
1997
ACM
125views Algorithms» more  STOC 1997»
15 years 9 months ago
An Interruptible Algorithm for Perfect Sampling via Markov Chains
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
James Allen Fill
CGO
2011
IEEE
14 years 9 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
ALGORITHMICA
2011
14 years 8 months ago
Algorithms for Marketing-Mix Optimization
Algorithms for determining quality/cost/price tradeoffs in saturated markets are consid-3 ered. A product is modeled by d real-valued qualities whose sum determines the unit cost ...
Joachim Gudmundsson, Pat Morin, Michiel H. M. Smid
BMCBI
2010
117views more  BMCBI 2010»
15 years 5 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski