|
|
|
| Semi-supervised Kernel Based Progressive SVM for Coal Mine Gas Safety Data Classification |
| Zhikai Zhao, Jiansheng Qian, Jian Cheng |
|
|
|
|
Abstract It is a new way to perform coal mine safety warning using gas safety
data classification. A large amount of samples are easily achieved
while the labeling work is time-consuming. Using unlabeled sample to
improve the learning performance is the aim of semi-supervised
learning. Most existing semi-supervised methods implement either the
cluster assumption or the manifold assumption. However, the
performance will degrade if the assumption was not appropriate. In
this paper, we proposed a method called semi-supervised kernel
based progressive SVM which combines both the cluster assumption and
the manifold assumption. Specifically, a semi-supervised kernel
which reflect manifold information of the samples was constructed by
warping the Reproducing Kernel Hilbert Space, and then the
semi-supervised kernel was used in SVM which was based on cluster
assumption, finally, a progressive learning procedure was used in
the proposed method. Several experiments were taken on public
datasets and coal mine safety data, the results showed that,
compared to the progressive SVM with supervised kernel and the
standard SVM with semi-supervised kernel, the proposed method using
semi-supervised kernel in progressive SVM had better performance.
|
|
|
|
|
|
| [1] |
Lingxiao Ma;Yi Li;Hancong Tang;Weilai Chi;Depeng Dang. Parallel Chameleon Clustering Based on MapReduce[J]. , 2015, 12(6): 2053-2062. |
| [2] |
Jun Chen;Zhengyang Luo;Chengying Gao. An Improved Hole-filling Technology Based on MLS[J]. , 2015, 12(6): 2063-2072. |
| [3] |
Weixin Xie;Hongbin Huang;Haotian Zhai;Weiping Liu. Features Extraction and Classification of Rice Paper Images Based on Wavelet Transform[J]. , 2015, 12(6): 2073-2079. |
| [4] |
Yehong Du;He Cui;Bing Li;Jie Li. Research on Regional Coverage with LAVs Based on MOPSOA[J]. , 2015, 12(6): 2081-2092. |
| [5] |
Xiaojian You;Xiaohai He;Xuemei Han;Chun Wu;Hong Jiang. A Novel Cognitive Radio Decision Engine Based on Chaotic Quantum Bee Colony Algorithm[J]. , 2015, 12(6): 2093-2106. |
| [6] |
Yao Fan;Yanli Chu. pplication of Improved ART Algorithm in Concrete Ultrasonic Imaging[J]. , 2015, 12(6): 2107-2116. |
| [7] |
Lun Xie;Xin Liu;Zhiliang Wang. Micro-expression Cognition and Emotion Modeling Based on Gross Reappraisal Strategy[J]. , 2015, 12(6): 2117-2132. |
| [8] |
Xiaoxue Guo;Haosen Lin. Remain Resource Reallocation DRA Algorithm with Multiple QoS Parameters Constraint[J]. , 2015, 12(6): 2133-2141. |
| [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] |
Siyuan Liu;Meng Wang;Haosong Hu. A Method and Application of Signal Demodulation Based on Wavelet Packet and Wavelet Ridge Decomposition[J]. , 2015, 12(6): 2155-2164. |
| [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] |
Hui Zhang;Peng Zhao;Jian Gao;Chengxiang Zhuge;Xiangming Yao. An Effective Intelligent Method for Optimal Urban Transit Network Design[J]. , 2015, 12(6): 2177-2184. |
| [13] |
Xin Wang;Fulian Yin;Jianping Chai;Xinran Wang. The Research of Broadcast Television Community Discovery Technology Based on Double-weight Gaussian Kernel Similarity[J]. , 2015, 12(6): 2185-2196. |
| [14] |
Yanli Huang;Beibei Xu;Xiaoliang Li. Properties of Rational General Solutions for First Order Multivariate Autonomous Rational Differential Systems[J]. , 2015, 12(6): 2197-2204. |
| [15] |
Jianli Feng;Xiaomin Zhang. An Identification Algorithm of Passive Millimeter Wave Detection Armored Targets Based on Signal Complexity[J]. , 2015, 12(6): 2205-2212. |
|
|
|
|
