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ACL
2006
15 years 1 months ago
Approximation Lasso Methods for Language Modeling
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...
Jianfeng Gao, Hisami Suzuki, Bin Yu
IJON
2011
186views more  IJON 2011»
14 years 3 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, 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...
Xuefeng Chen, Xiabi Liu, Yunde Jia
VTC
2010
IEEE
124views Communications» more  VTC 2010»
14 years 10 months ago
A Novel Sampling Method for the Spatial Frequencies of Sinusoid-Based Shadowing Models
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...
Siegfried Klein, Serkan Uygungelen, Christian M. M...
LREC
2010
156views Education» more  LREC 2010»
15 years 1 months ago
Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System
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...
Sunao Hara, Norihide Kitaoka, Kazuya Takeda
SIAMSC
2010
210views more  SIAMSC 2010»
14 years 6 months ago
On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe
We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...
Ümit V. Çatalyürek, Cevdet Aykana...