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| A Relational Learning Algorithm Combining Relational Tri-training and Relational Instance-based Learning |
| Yanjuan Li, Maozu Guo |
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Abstract Relational tri-training (R-tri-training for short) is a relational
semi-supervised learning algorithm, it can effectively exploit
unlabeled examples to learn first-order rule. However, the
performance of R-tri-training is usually not stable for the
unlabeled examples often are wrongly labeled during the iterative
learning process. In this paper, a new relational tri-training
algorithm named RIBL-R-tri-training is proposed. A new process named
re-classifying is added to the iteration process of
RIBL-R-tri-training, then the iteration process of
RIBL-R-tri-training consists of co-labeling, re-classifying and
re-training. The process of co-labeling and re-training of
RIBL-R-tri-training is same as that of R-tri-training. In the
process of re-classifying, for any example x in the newly labeled
examples (unlabeled examples labeled by co-labeling), we use the new
training examples (the newly labeled examples and original labeled
examples) except x as a training examples to train RIBL (Relational
instance-based learning) algorithm, then re-classify the example x.
For RIBL is robust with respect to noise in the examples or missing
attribute values, the new training examples after re-classifying has
little noise than that before re-classifying. Experiments on
well-known benchmarks in chemoinformatics show that
RIBL-R-tri-training can more effectively enhance the performance of
the hypothesis learned than R-Tri-training.
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| [1] |
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| [3] |
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| [4] |
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| [5] |
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| [6] |
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| [7] |
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| [8] |
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| [9] |
Zhiwei Ni;Xuhui Zhu;Liping Ni;Meiying Cheng;Yiling Wang. An Improved Discrete Optimization Algorithm Based on Artificial Fish Swarm and Its Application for Attribute Reduction[J]. , 2015, 12(6): 2143-2154. |
| [10] |
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| [11] |
Yuan Xi;Kai Cheng;Tao Xiao;Xitong Lou;Lei Cheng;Yanjuan Hu. Parametric Design of Reverse Blowing Pickup Mouth Based on Flow Simulation[J]. , 2015, 12(6): 2165-2175. |
| [12] |
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| [13] |
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| [14] |
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| [15] |
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