Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Abstract
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we provide a simple ...
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Keywords
- Regularization (linguistics)
- Algorithm
- Computer science
- Artificial intelligence
- Machine learning
- Mathematics
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