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Table 1: Model neighborhood for transformations. The model space includes four predictors (1, 2, 3, T3) and 4 transformations of the response corresponding to = (?1; 0; :5; 1). The neighborhood of the model with predictors 1 and 2 and with response equal to Y (1=2) is given below.

in Simultaneous Variable and Transformation Selection in Linear Regression
by Jennifer A. Hoeting, Adrian E. Raftery, David Madigan 1995
Cited by 5

Table 1: Model neighborhood for transformations. The model space includes four predictors (1, 2, 3, T3) and 4 transformations of the response corresponding to = (?1; 0; :5; 1). The neighborhood of the model with predictors 1 and 2 and with response equal to Y (1=2) is given below. predictors response

in Bayesian Simultaneous Variable and Transformation Selection in Linear Regression
by Jennifer A. Hoeting, Adrian E. Raftery, David Madigan

TABLE I MODEL TRANSFORMATIONS CATEGORIZED BY STATE SPACE

in Towards Transformation of Integrity Constraints and
by Database States

Table 1: Incremental adaptation results on H1 development and evaluation data

in Maximum Likelihood Linear Transformations for HMM-Based Speech Recognition
by M.J.F. Gales 1998
"... In PAGE 11: ...Table 1: Incremental adaptation results on H1 development and evaluation data Table1 shows the performance of the block-diagonal constrained model-space transform and an unconstrained mean transform run in an incremental adaptation mode. Comparing the two forms of transformation it is hard to obtain a consistent picture.... ..."
Cited by 151

Table 1: Comparison between model-space and data-space regularization Trivial regularization Model-space Data-space

in On model-space and data-space regularization: A tutorial: SEP--94
by Sergey Fomel 1997
Cited by 7

Table 2. Word error rates for full covariance models with state dependent quadratic feature space transforms.

in GAUSSIAN MIXTURE MODELING WITH VOLUME PRESERVING NONLINEAR FEATURE SPACE TRANSFORMS
by Peder A. Olsen, Scott Axelrod, Karthik Visweswariah, Ramesh A. Gopinath
"... In PAGE 4: ... Further exploring the use of a quadratic feature space transform we considered using a different transform for each HMM state. Table2 shows the results with 680 and 10K gaussians respectively. In the case of 680 gaussians, where each gaussian has its own quadratic feature transform qj(Ajx), there was a substantial gain over the baseline full covariance model with 680 gaussians.... ..."

Table 2. Word error rates for full covariance models with state dependent quadratic feature space transforms.

in GAUSSIAN MIXTURE MODELING WITH VOLUME PRESERVING NONLINEAR FEATURE SPACE TRANSFORMS
by Peder A. Olsen, Scott Axelrod, Karthik Visweswariah, Ramesh A. Gopinath
"... In PAGE 4: ... Further exploring the use of a quadratic feature space transform we considered using a different transform for each HMM state. Table2 shows the results with 680 and 10K gaussians respectively. In the case of 680 gaussians, where each gaussian has its own quadratic feature transform D5CYB4BTCYDCB5, there was a substantial gain over the baseline full covariance model with 680 gaussians.... ..."

Table 5. Presentation codes for text in model space

in Iso Dis 13567 - The Proposed International Standard For
by Structuring Layers In, Löwnertz Kurt, Kiviniemi Arto
"... In PAGE 12: ...Table5... ..."

Table 1. Comparison between model-space and data-space regularization.

in in
by Sergey Fomel, Jon F. Claerbout

Table 1. Mapping MDA structure to modeling space specification structure

in Strengthening the Modeling Foundation of the
by Duane Hybertson 2002
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