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AI
1998
Springer
13 years 11 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
AUTOMATICA
2006
110views more  AUTOMATICA 2006»
13 years 7 months ago
Solutions to hybrid inclusions via set and graphical convergence with stability theory applications
Motivated by questions in stability theory for hybrid dynamical systems, we establish some fundamental properties of the set of solutions to such systems. Using the notion of a hy...
Rafal Goebel, Andrew R. Teel
MP
2002
101views more  MP 2002»
13 years 7 months ago
Componentwise fast convergence in the solution of full-rank systems of nonlinear equations
The asymptotic convergence of parameterized variants of Newton's method for the solution of nonlinear systems of equations is considered. The original system is perturbed by a...
Nicholas I. M. Gould, Dominique Orban, Annick Sart...
GRC
2008
IEEE
13 years 8 months ago
Convergence of Ant Colony Optimization on First-order Deceptive Systems
Deceptive problems have been considered difficult for ant colony optimization (ACO) and it was believed that ACO will fail to converge to global optima of deceptive problems. Thi...
Yixin Chen, Haiying Sun
MOC
2002
107views more  MOC 2002»
13 years 7 months ago
Convergence of the shifted QR algorithm for unitary Hessenberg matrices
This paper shows that for unitary Hessenberg matrices the QR algorithm, with (an exceptional initial-value modification of) the Wilkinson shift, gives global convergence; moreover,...
Tai-Lin Wang, William B. Gragg