388 search results - page 26 / 78 » Convergence Properties of the K-Means Algorithms |
ISNN
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
128
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ISNN
2007
Springer
15 years 7 months ago
2007
Springer
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
125
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ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
116
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MP
2006
15 years 1 months ago
2006
We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and global convergence properties of this method were analyzed i...
103
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CDC
2009
IEEE
15 years 6 months ago
2009
IEEE
Abstract— We consider a distributed multi-agent network system where the goal is to minimize an objective function that can be written as the sum of component functions, each of ...