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» On the Complexity of Function Learning
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ICA
2007
Springer
14 years 4 months ago
A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function
In this paper, we propose to use the Huber M-estimator cost function as a contrast function within the complex FastICA algorithm of Bingham and Hyvarinen for the blind separation o...
Jih-Cheng Chao, Scott C. Douglas
AISC
2000
Springer
14 years 2 months ago
Reasoning about the Elementary Functions of Complex Analysis
There are many problems with the simplification of elementary functions, particularly over the complex plane. Systems tend to make “howlers” or not to simplify enough. In thi...
Robert M. Corless, James H. Davenport, David J. Je...
ICRA
2005
IEEE
141views Robotics» more  ICRA 2005»
14 years 3 months ago
On Computing Complex Navigation Functions
— This paper addresses the problem of efficiently computing robot navigation functions. Navigation functions are potential functions free of spurious local minima that present a...
Luciano C. A. Pimenta, Alexandre R. Fonseca, Guilh...
FOCS
2005
IEEE
14 years 3 months ago
On the Complexity of Real Functions
We establish a new connection between the two most common traditions in the theory of real computation, the Blum-Shub-Smale model and the Computable Analysis approach. We then use...
Mark Braverman
IEAAIE
2010
Springer
13 years 7 months ago
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
Beatriz García Jiménez, Agapito Lede...