Name
Title | ||
|---|---|---|
Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation |
Abstract | ||
|---|---|---|
We describe the use of smoothing spline analysis of variance (SSANOVA)in the penalized log likelihood context, for learning(estimating) the probability p of a `1" outcome, given a trainingset with attribute vectors and outcomes. p is of the formp(t) = ef(t)=(1 + ef(t)), where, if t is a vector of attributes, fis learned as a sum of smooth functions of one attribute plus asum of smooth functions of two attributes, etc. The smoothingparameters governing f are obtained by an... |
Year | Venue | Keywords |
|---|---|---|
1993 | NIPS | machine learning,analysis of variance,smoothing spline |
DocType | Citations | PageRank |
Conference | 3 | 1.01 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Grace Wahba | 1 | 201 | 29.92 |
| Yuedong Wang | 2 | 7 | 3.23 |
| Gu, Chong | 3 | 3 | 1.01 |
| Ronald Klein | 4 | 20 | 4.78 |
| Klein, MD, Barbara | 5 | 3 | 1.01 |