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Journal Abstract Search
613 related items for PubMed ID: 18187285
1. New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. Wang YC, Casasent D. Neural Netw; 2008; 21(2-3):502-10. PubMed ID: 18187285 [Abstract] [Full Text] [Related]
2. A hierarchical classifier using new support vector machines for automatic target recognition. Casasent D, Wang YC. Neural Netw; 2005; 18(5-6):541-8. PubMed ID: 16087318 [Abstract] [Full Text] [Related]
3. A tutorial on support vector machine-based methods for classification problems in chemometrics. Luts J, Ojeda F, Van de Plas R, De Moor B, Van Huffel S, Suykens JA. Anal Chim Acta; 2010 Apr 30; 665(2):129-45. PubMed ID: 20417323 [Abstract] [Full Text] [Related]
4. A novel kernel-based maximum a posteriori classification method. Xu Z, Huang K, Zhu J, King I, Lyu MR. Neural Netw; 2009 Sep 30; 22(7):977-87. PubMed ID: 19167865 [Abstract] [Full Text] [Related]
7. Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion. Rahman MM, Desai BC, Bhattacharya P. Comput Med Imaging Graph; 2008 Mar 30; 32(2):95-108. PubMed ID: 18037271 [Abstract] [Full Text] [Related]
8. Subclass problem-dependent design for error-correcting output codes. Escalera S, Tax DM, Pujol O, Radeva P, Duin RP. IEEE Trans Pattern Anal Mach Intell; 2008 Jun 30; 30(6):1041-54. PubMed ID: 18421109 [Abstract] [Full Text] [Related]