### 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.

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

### TABLE I MODEL TRANSFORMATIONS CATEGORIZED BY STATE SPACE

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

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

1997

Cited by 7

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

"... 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 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 PAGE 12: ...Table5... ..."

### Table 1. Mapping MDA structure to modeling space specification structure

2002