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» Optimizing Complex Loss Functions in Structured Prediction
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IPSN
2009
Springer
14 years 2 months ago
Simultaneous placement and scheduling of sensors
We consider the problem of monitoring spatial phenomena, such as road speeds on a highway, using wireless sensors with limited battery life. A central question is to decide where ...
Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlo...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
EVOW
2007
Springer
13 years 11 months ago
Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms
MicroRNAs (miRNAs) form a large functional family of small noncoding RNAs and play an important role as posttranscriptional regulators, by repressing the translation of mRNAs. Rece...
Jin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae ...
INFOCOM
2009
IEEE
14 years 2 months ago
Noncooperative Load Balancing in the Continuum Limit of a Dense Network
Abstract—In transportation network research, the main approach for predicting traffic distribution due to noncooperative vehicle choices has been through fluid type models. The...
Eitan Altman, Ishai Menache, Asuman E. Ozdaglar
BMCBI
2010
117views more  BMCBI 2010»
13 years 7 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