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ACL
2006
14 years 11 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
IJON
2011
14 years 1 months ago
2011
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
VTC
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract—Careful modeling of the radio channel characteristics is an important issue for system level simulations. While a number of detailed path loss, shadowing and fast fading...
LREC
2010
14 years 11 months ago
2010
In this paper, we propose an estimation method of user satisfaction for a spoken dialog system using an N-gram-based dialog history model. We have collected a large amount of spok...
SIAMSC
2010
14 years 4 months ago
2010
We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...