Titlebook: Machine Learning and Data Mining in Pattern Recognition; 10th International C Petra Perner Conference proceedings 2014 Springer Internation

要塞

conscience

Synovial-Fluid

Label Correction Strategy on Hierarchical Multi-Label Classificationlled “l(fā)abel correction”, which takes label correlation into consideration and corrects the results of unusual prediction patterns. In the experiment, our method does not only improve prediction accuracy on data in hierarchical domains, but it also contributes such a significant impact on data in multi-label domains.

彈藥

Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifierfy its effectiveness and efficiency. The larger is the problem, the more saving by IPC-GMBNC versus conventional approach (global structure learning by PC algorithm), e.g. given an example network with 200 nodes, around 99% saving is achieved.

Vaginismus

Communicate

Negotiate

隱士

Applications of Concurrent Sequential Patterns in Protein Data Miningstructure for the extraction of novel patterns in protein sequences. Experiments with real-world protein datasets highlight the applicability of the ConSP methodology in protein data mining. The results show the potential for knowledge discovery in the field of protein structure identification.

同時發(fā)生

https://doi.org/10.1007/978-3-319-08979-9association rule mining; bayesian network; bioinformatics; crowdsourcing; data mining; ensemble method; ma

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