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» Privatizing Constraint Optimization
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UAI
2004
15 years 5 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
127
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AAAI
2000
15 years 5 months ago
Applying Learnable Evolution Model to Heat Exchanger Design
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
Kenneth A. Kaufman, Ryszard S. Michalski
NIPS
1996
15 years 5 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
CEC
2010
IEEE
15 years 5 months ago
Non-rigid 3D face shape reconstruction using a genetic algorithm
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-r...
Jong-Min Park, Hyun-Chul Choi, Se-Young Oh
ECAI
2010
Springer
15 years 5 months ago
ISAC - Instance-Specific Algorithm Configuration
We present a new method for instance-specific algorithm configuration (ISAC). It is based on the integration of the algorithm configuration system GGA and the recently proposed sto...
Serdar Kadioglu, Yuri Malitsky, Meinolf Sellmann, ...