1474 search results - page 181 / 295 » Using Machine Learning to Focus Iterative Optimization |
107
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
116
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ICDM
2007
IEEE
15 years 9 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
125
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CGF
2008
15 years 3 months ago
2008
We present a robust and efficient algorithm for the pairwise non-rigid registration of partially overlapping 3D surfaces. Our approach treats non-rigid registration as an optimiza...
136
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
117
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...