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ICAI
2007
13 years 10 months ago
Dynamic Programming Algorithm for Training Functional Networks
Abstract— The paper proposes a dynamic programming algorithm for training of functional networks. The algorithm considers each node as a state. The problem is formulated as find...
Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa E...
IJCAI
1993
13 years 10 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
ICML
2010
IEEE
13 years 9 months ago
On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning
A learning problem might have several measures of complexity (e.g., norm and dimensionality) that affect the generalization error. What is the interaction between these complexiti...
Percy Liang, Nati Srebro
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
13 years 8 months ago
Input-to-state stability of switched systems and switching adaptive control
In this paper we prove that a switched nonlinear system has several useful ISS-type properties under average dwell-time switching signals if each constituent dynamical system is I...
Linh Vu, Debasish Chatterjee, Daniel Liberzon
JSCIC
2006
92views more  JSCIC 2006»
13 years 8 months ago
Moving Mesh Discontinuous Galerkin Method for Hyperbolic Conservation Laws
In this paper, a moving mesh discontinuous Galerkin (DG) method is developed to solve the nonlinear conservation laws. In the mesh adaptation part, two issues have received much a...
Ruo Li, Tao Tang