A. Clare, R. King.: Knowledge Discovery in Multi-label Phenotype Data. In: Lecture Notes in Computer Science. Vol. 2168. (2001) Home/Search Document Details and Download
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Hierarchical Multi-Classification - Blockeel, Bruynooghe, Dzeroski.. (2002) (1 citation) (Correct)
....nodes, then the MSWSP could be decreased further (for hierarchical ) We did not do this here because the internal nodes are not valid newsgroups. 6. 3 Functional Genomics Experimental Setup In our second experiment we apply Clus to the multiclassi cation task introduced by Clare and King [8]. They present a modi ed version of the C4.5 decision tree learner [18] that is capable of learning multiclassi cation trees but does not exploit any hierarchical information. The phenotype data set contains 1461 examples. Each example corresponds to a mutant strain that is obtained by ....
....number of growth media where the mutant di ers from the wild type. The target value is the set of functional classes of the removed gene. This functional class belongs to a hierarchy of depth 4 with 13 classes at level one (e.g. metabolism , energy , transcription , and 162 leaves. In [8] a resampling approach is used to nd accurate and stable rules, and some selected rules are presented. In our preliminary experiment we use just one train test split (50 of the examples each) We use Clus with the hierarchical multi classi cation setting to build a model on the training set and ....
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A. Clare and R.D. King. Knowledge discovery in multi-label phenotype data. In L. De Raedt and A. Siebes, editors, 5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2001), volume 2168 of Lecture Notes in Arti cial Intelligence, pages 42-53. Springer-Verlag, 2001.
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A. Clare, R. King.: Knowledge Discovery in Multi-label Phenotype Data. In: Lecture Notes in Computer Science. Vol. 2168. (2001)
Under consideration for publication in Knowledge and.. - Systems Learning Accurate (Correct)
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Clare A, King R (2001) Knowledge Discovery in Multi-label Phenotype Data. Proceedings of the Fifth European Conference on Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science, Vol. 2168, pp 42-53, Springer.
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A. Clare and R. D. King "Knowledge Discovery in Multi label Phenotype Data", 5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2001), volume 2168 of Lecture Notes in Arti cial Intelligence, pages 42-53, 2001
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Clare A, King R (2001) Knowledge Discovery in Multi-label Phenotype Data. Proceedings of the Fifth European Conference on Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science, Vol. 2168, pp 42-53, Springer.
Multi-label Semantic Scene Classification - Matthew Boutell Xipeng (2003) (2 citations) (Correct)
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Amanda Clare and Ross D. King. Knowledge discovery in multi-label phenotype data. Lecture Notes in Computer Science, 2168:42--??, 2001.
Multi-Label Machine Learning and Its Application to.. - Shen, Boutell, Luo.. (2004) (1 citation) (Correct)
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A. Clare and R. D. King, "Knowledge discovery in multi-label phenotype data," Lecture Notes in Computer Science 2168, pp. 42--??, 2001.
Multi-label Semantic Scene Classification - Matthew Boutell Xipeng (2003) (2 citations) (Correct)
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Amanda Clare and Ross D. King. Knowledge discovery in multi-label phenotype data. Lecture Notes in Computer Science, 2168:42--??, 2001.
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