1414 search results - page 198 / 283 » Randomness and Universal Machines |
153
Voted
NIPS
2004
15 years 4 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
136
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ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
The problem of minimizing the rank of a matrix subject to linear equality constraints arises in applications in machine learning, dimensionality reduction, and control theory, and...
134
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MP
2006
15 years 3 months ago
2006
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
105
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SSS
2010
Springer
15 years 1 months ago
2010
Springer
We consider the question of how much information can be stored by labeling the vertices of a connected undirected graph G using a constant-size set of labels, when isomorphic label...
146
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EMNLP
2010
15 years 1 months ago
2010
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...