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105
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APIN
2004
107views more  APIN 2004»
15 years 18 days ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 15 days ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
116
Voted
TIT
2002
164views more  TIT 2002»
15 years 11 days ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
103
Voted
IJBRA
2010
116views more  IJBRA 2010»
14 years 11 months ago
Scaling alignment of large ontologies
: In recent years, the number of ontologies shared on the Web has increased dramatically, supporting a growing set of applications such as biological knowledge sharing, enhanced se...
Suzette Stoutenburg, Jugal Kalita, Kaily Ewing, Li...
JMLR
2010
135views more  JMLR 2010»
14 years 11 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...