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» Complexity of O'Hara's Algorithm
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133
Voted
SIGCSE
2004
ACM
101views Education» more  SIGCSE 2004»
15 years 10 months ago
Effective features of algorithm visualizations
Many algorithm visualizations have been created, but little is known about which features are most important to their success. We believe that pedagogically useful visualizations ...
Purvi Saraiya, Clifford A. Shaffer, D. Scott McCri...
166
Voted
CEC
2009
IEEE
15 years 9 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
VISUALIZATION
1992
IEEE
15 years 9 months ago
Display of Scientific Data Structures for Algorithm Visualization
algorithms as networks of modules. The data flow architecture is popular because of the flexibility of mixing calculation modules with display modules, and because of its easy grap...
William L. Hibbard, Charles R. Dyer, Brian E. Paul
163
Voted
EC
2010
157views ECommerce» more  EC 2010»
15 years 5 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
JMLR
2008
230views more  JMLR 2008»
15 years 5 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...