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103
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 10 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
104
Voted
JNCA
2006
114views more  JNCA 2006»
14 years 10 months ago
An evolutionary approach to prototyping pedagogical agents: from simulation to integrated system
We have developed and integrated software agents with two educational groupware systems (TeamWave Workplace and FLE), using evolutionary prototyping and empiricalbased design as d...
Anders I. Mørch, Jan A. Dolonen, Jan Eirik ...
IROS
2009
IEEE
147views Robotics» more  IROS 2009»
15 years 4 months ago
A multi-hypothesis topological SLAM approach for loop closing on edge-ordered graphs
— We present a method for topological SLAM that specifically targets loop closing for edge-ordered graphs. Instead of using a heuristic approach to accept or reject loop closing...
Stephen Tully, George Kantor, Howie Choset, Felix ...
102
Voted
GECCO
2006
Springer
207views Optimization» more  GECCO 2006»
15 years 1 months ago
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design
A robust dynamic evolutionary algorithm (labeled RODEA), where both the robust calculation and mutation operator are based on an orthogonal design, is proposed in this paper. Prev...
Sanyou Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hug...
83
Voted
MST
2007
168views more  MST 2007»
14 years 9 months ago
Productivity of Edalat-Potts Exact Arithmetic in Constructive Type Theory
In this work we focus on a formalisation of the algorithms of lazy exact arithmetic `a la Edalat–Potts in type theory. We choose the constructive type theory extended with coind...
Milad Niqui