Research Article
An Efficient Kernel Learning Algorithm for Semisupervised Regression Problems
Table 1
Performance obtained using various kernel-based methods.
| Method/sample Size | ( = 200, = 30) | ( = 400, = 100) | ( = 500, = 120) |
| SKM | 0.090 ± 0.032 | 0.093 ± 0.022 | 0.095 ± 0.018 | UKM | 0.085 ± 0.052 | 0.082 ± 0.037 | 0.080 ± 0.041 | SEKM | | 0.077 ± 0.042 | 0.075 ± 0.036 |
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