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» Structure learning of Bayesian networks using constraints
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ECAI
2004
Springer
15 years 9 months ago
Learning Techniques for Automatic Algorithm Portfolio Selection
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
Alessio Guerri, Michela Milano
CVPR
2003
IEEE
16 years 6 months ago
Using Many Cameras as One
We illustrate how to consider a network of cameras as a single generalized camera in a framework proposed by Nayar [13]. We derive the discrete structure from motion equations for...
Robert Pless
AROBOTS
2002
115views more  AROBOTS 2002»
15 years 4 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
ISNN
2005
Springer
15 years 10 months ago
FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
Poyueh Chen, Hungming Tsai, ChengJian Lin, ChiYung...
APIN
2006
109views more  APIN 2006»
15 years 4 months ago
Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems
The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing ...
Patrick W. Yaner, Ashok K. Goel