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» A Comparative Evaluation of Name-Matching Algorithms
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CEC
2010
IEEE
13 years 10 months ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi
ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 9 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
IROS
2009
IEEE
275views Robotics» more  IROS 2009»
14 years 3 months ago
A stereo vision based mapping algorithm for detecting inclines, drop-offs, and obstacles for safe local navigation
— Mobile robots have to detect and handle a variety of potential hazards to navigate autonomously. We present a real-time stereo vision based mapping algorithm for identifying an...
Aniket Murarka, Benjamin Kuipers
AE
2005
Springer
14 years 2 months ago
An Immunological Algorithm for Global Numerical Optimization
Abstract. Numerical optimization of given objective functions is a crucial task in many real-life problems. The present article introduces an immunological algorithm for continuous...
Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicos...
CIARP
2005
Springer
14 years 2 months ago
Dynamic Hierarchical Compact Clustering Algorithm
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Reynaldo Gil-García, José Manuel Bad...