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Aiming at the deception phenomena in the electric power market that disorder the power trading, the early warning problem of power users' credit risk in the power market was studied. To solve the problem, an early warning model based on SVM (Support Vector Machine) was purposed. First the evaluation criteria system and grading standard were discussed in detail. Secondly the early warning model based...
The prediction of molecule's properties through Quantitative Structure Activity (resp. Property) Relationships are two active research fields named QSAR and QSPR. Within these frameworks Graph kernels allow to combine a natural encoding of a molecule by a graph with classical statistical tools such as SVM or kernel ridge regression. Unfortunately some molecules encoded by a same graph and differing...
The following paper proposes a set of novel feature selection criteria that can be applied to kernel Principal Component Analysis (kPCA) outcome to derive discriminative feature spaces for complex classification problems, such as biometric recognition tasks. The proposed class-separation criteria that are used to evaluate distributions of samples, which are projected onto nonlinear most discriminative...
In this paper, normalized SoP string-edit distances, taking into account all possible alignments between two sequences, are investigated. These normalized distances are variants of the Sum-over-Paths (SoP) distances which compute the expected cost on all sequence alignments by favoring low-cost ones - therefore favoring good alignment. Such distances consider two sequences tied by many optimal or...
Support vector machine is the highlight in machine learning. Also, performance evaluation and parameters selection for SVM model become an important issue to make it practically useful. In this paper, after investigating current evaluation index for pattern recognition, we introduced receiver operating characteristic curve into the performance evaluation. Area under receiver operating characteristic...
As a powerful machine learning approach for pattern recognition problems, support vector machine is known to have good generalization ability. Based on the index system of enterprise's self-fulfillment capability, a new integrated evaluation model is established by using support vector regression method. The method has advantages of accuracy, convenience, reliability and rapidity. The method is illustrated...
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