Add to ORKGPelemans J., Shazeer N., Chelba C., ''Sparse non-negative matrix language modeling'', EMNLP 2016, November 1-5, 2016, Austin, Texas, USA.status: publishe
In the interest of reproducible research, this is exactly the version of the code used to generate t...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
We introduce several new formulations for sparse nonnegative matrix approximation. Subsequently, we ...
Pelemans J., Shazeer N., Chelba C., ''Sparse non-negative matrix language modeling'', Transactions o...
Copyright © 2015 ISCA. We present a novel family of language model (LM) estimation techniques named ...
ProceedingsSponsored by the Office of Naval Research and others.Bibliography: p. 191-210
Copyright © 2015 ISCA. In this paper we present a pruning algorithm and experimental results for our...
Van hamme H., ''On the relation between perceptrons and non-negative matrix factorization'', Proceed...
Thesis (B.S.) in Chemical Engineering--University of Illinois at Urbana-Champaign, 1979.Includes bib...
Version of paper at conf. on sparse matrices and their uses 9-11 Jul 1980SIGLEAvailable from British...
matrix factorization extended by sparse code shrinkage and by weight sparsificatio
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide v...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
Gemmeke J.F., ''Resolving sparse representation model mismatches through linear transforms'', Signal...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
In the interest of reproducible research, this is exactly the version of the code used to generate t...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
We introduce several new formulations for sparse nonnegative matrix approximation. Subsequently, we ...
Pelemans J., Shazeer N., Chelba C., ''Sparse non-negative matrix language modeling'', Transactions o...
Copyright © 2015 ISCA. We present a novel family of language model (LM) estimation techniques named ...
ProceedingsSponsored by the Office of Naval Research and others.Bibliography: p. 191-210
Copyright © 2015 ISCA. In this paper we present a pruning algorithm and experimental results for our...
Van hamme H., ''On the relation between perceptrons and non-negative matrix factorization'', Proceed...
Thesis (B.S.) in Chemical Engineering--University of Illinois at Urbana-Champaign, 1979.Includes bib...
Version of paper at conf. on sparse matrices and their uses 9-11 Jul 1980SIGLEAvailable from British...
matrix factorization extended by sparse code shrinkage and by weight sparsificatio
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide v...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
Gemmeke J.F., ''Resolving sparse representation model mismatches through linear transforms'', Signal...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
In the interest of reproducible research, this is exactly the version of the code used to generate t...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
We introduce several new formulations for sparse nonnegative matrix approximation. Subsequently, we ...