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AAAI
2008
15 years 6 months ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
BMCBI
2010
108views more  BMCBI 2010»
15 years 1 months ago
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy
Background: Recent studies have revealed the importance of considering the entire distribution of possible secondary structures in RNA secondary structure predictions; therefore, ...
Michiaki Hamada, Kengo Sato, Kiyoshi Asai
IPPS
2007
IEEE
15 years 10 months ago
Optimal Energy Balanced Data Gathering in Wireless Sensor Networks
Unbalanced energy consumption is an inherent problem in wireless sensor networks where some nodes may be overused and die out early, resulting in a short network lifetime. In this...
Haibo Zhang, Hong Shen, Yasuo Tan
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 10 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 9 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont