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Publication search results
found 8 matches
- 2024
- Huantong Geng, Feifei Song, Junye Shen, Jiaxing Li:
A classification and regression assisted optimization algorithm for high-dimensional expensive many-objective problems. Neurocomputing 586: 127629 (2024) - 2022
- Steffano Pereira, Péricles B. C. de Miranda, Thiago França, Carmelo J. A. Bastos Filho, Tapas Si:
A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems. LA-CCI 2022: 1-6 - 2021
- Ruoyu Wang, Yuee Zhou, Hanning Chen, Lianbo Ma, Meng Zheng:
A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems. IEEE Access 9: 159160-159174 (2021) - 2011
- Kenneth R. Hess, Caimiao Wei, Yuan Qi, Takayuki Iwamoto, W. Fraser Symmans, Lajos Pusztai:
Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems. BMC Bioinform. 12: 463 (2011) - 2010
- Marc Boullé:
Simultaneous Partitioning of Input and Class Variables for Supervised Classification Problems with Many Classes. EGC (best of volume) 2010: 105-119 - 2007
- Alastair J. D. Craft, Geraint A. Wiggins, Tim Crawford:
How Many Beans Make Five? The Consensus Problem in Music-Genre Classification and a New Evaluation Method for Single-Genre Categorisation Systems. ISMIR 2007: 73-76 - 2005
- Simon I. Hill, Arnaud Doucet:
Adapting two-class support vector classification methods to many class problems. ICML 2005: 313-320 - 1986
- Christoph Walther:
A Classification of Many-Sorted Unification Problems. CADE 1986: 525-537
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