-
1
-
-
0025725905
-
Instance-based learning algorithms
-
D.W. Aha, D. Kibler and M.K. Albert, Instance-based learning algorithms, Machine Learning 6(1) (1991), 37-66.
-
(1991)
Machine Learning
, vol.6
, Issue.1
, pp. 37-66
-
-
Aha, D.W.1
Kibler, D.2
Albert, M.K.3
-
2
-
-
51849091084
-
Multi-label hierarchical classification of protein functions with artificial immune systems
-
Berlin, Heidelberg. Springer-Verlag
-
R. Alves, M. Delgado and A. Freitas, Multi-label hierarchical classification of protein functions with artificial immune systems, In III Brazilian Symposium on Bioinformatics, volume 5167 of Lecture Notes in Bioinformatics, pages 1-12, Berlin, Heidelberg, 2008. Springer-Verlag.
-
(2008)
III Brazilian Symposium on Bioinformatics, Volume 5167 of Lecture Notes in Bioinformatics
, pp. 1-12
-
-
Alves, R.1
Delgado, M.2
Freitas, A.3
-
3
-
-
0034069495
-
Gene ontology: Tool for the unification of biology. The Gene Ontology Consortium
-
May
-
M. Ashburner, C.A. Ball, J.A. Blake, D. Botstein, H. Butler, J.M. Cherry, A.P. Davis, K. Dolinski, S.S. Dwight, J.T. Eppig, M.A. Harris, D.P. Hill, L. Issel-Tarver, A. Kasarskis, S. Lewis, J.C. Matese, J.E. Richardson, M. Ringwald, G.M. Rubin and G. Sherlock, Gene ontology: tool for the unification of biology. The Gene Ontology Consortium, Nat Genet 25(1) (May 2000), 25-29.
-
(2000)
Nat Genet
, vol.25
, Issue.1
, pp. 25-29
-
-
Ashburner, M.1
Ball, C.A.2
Blake, J.A.3
Botstein, D.4
Butler, H.5
Cherry, J.M.6
Davis, A.P.7
Dolinski, K.8
Dwight, S.S.9
Eppig, J.T.10
Harris, M.A.11
Hill, D.P.12
Issel-Tarver, L.13
Kasarskis, A.14
Lewis, S.15
Matese, J.C.16
Richardson, J.E.17
Ringwald, M.18
Rubin, G.M.19
Sherlock, G.20
more..
-
4
-
-
33645323768
-
Hierarchical multi-label prediction of gene function
-
Z.Barutcuoglu, R.E. Schapire andO.G. Troyanskaya, Hierarchical multi-label prediction of gene function, Bioinformatics 22(7) (2006), 830-836.
-
(2006)
Bioinformatics
, vol.22
, Issue.7
, pp. 830-836
-
-
Barutcuoglu, Z.1
Schapire, R.E.2
Troyanskaya, O.G.3
-
5
-
-
72449184156
-
Refined experts: Improving classification in large taxonomies
-
New York, NY, USA. ACM
-
P.N. Bennett and N. Nguyen, Refined experts: improving classification in large taxonomies, In SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 11-18, New York, NY, USA, 2009. ACM.
-
(2009)
SIGIR '09: Proceedings of the 32nd international. ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 11-18
-
-
Bennett, P.N.1
Nguyen, N.2
-
7
-
-
3042597440
-
Learning multi-label scene classification
-
M.R. Boutell, J. Luo, X. Shen and C.M. Brown, Learning multi-label scene classification, Pattern Recognition 37(9) (2004), 1757-1771.
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
8
-
-
84880887867
-
Exploiting known taxonomies in learning overlapping concepts
-
San Francisco, CA, USA. Morgan Kaufmann Publishers Inc
-
L. Cai and T. Hofmann, Exploiting known taxonomies in learning overlapping concepts, In IJCAI'07: Proceedings of the 20th international joint conference on Artifical intelligence, pages 714-719, San Francisco, CA, USA, 2007. Morgan Kaufmann Publishers Inc.
-
(2007)
IJCAI'07: Proceedings of the 20th International Joint Conference on Artifical Intelligence
, pp. 714-719
-
-
Cai, L.1
Hofmann, T.2
-
10
-
-
29644434908
-
Incremental algorithms for hierarchical classification
-
N. Cesa-Bianchi, C. Gentile and L. Zaniboni, Incremental algorithms for hierarchical classification, Machine Learning 7 (2006), 31-54.
-
(2006)
Machine Learning
, vol.7
, pp. 31-54
-
-
Cesa-Bianchi, N.1
Gentile, C.2
Zaniboni, L.3
-
11
-
-
6944251719
-
Predicting gene function in saccharomyces cerevisiae
-
A. Clare and R.D. King, Predicting gene function in saccharomyces cerevisiae, Bioinformatics 19 (2003), 42-49.
-
(2003)
Bioinformatics
, vol.19
, pp. 42-49
-
-
Clare, A.1
King, R.D.2
-
13
-
-
51849140080
-
Top-down hierarchical ensembles of classifiers for predicting g-protein-coupled-receptor functions
-
Berlin, Heidelberg. Springer-Verlag
-
E.P. Costa, A.C. Lorena, A.C. Carvalho and A.A. Freitas, Top-down hierarchical ensembles of classifiers for predicting g-protein-coupled-receptor functions, In III Brazilian Symposium on Bioinformatics, volume 5167 of Lecture Notes in Bioinformatics, pages 35-46, Berlin, Heidelberg, 2008. Springer-Verlag.
-
(2008)
III Brazilian Symposium on Bioinformatics, Volume 5167 of Lecture Notes in Bioinformatics
, pp. 35-46
-
-
Costa, E.P.1
Lorena, A.C.2
Carvalho, A.C.3
Freitas, A.A.4
-
14
-
-
38049001201
-
Comparing several approaches for hierarchical classification of proteins with decision trees
-
Berlin, Heidelberg. Springer-Verlag
-
E.P. Costa, A.C. Lorena, A.C. Carvalho, A.A. Freitas and N. Holden, Comparing several approaches for hierarchical classification of proteins with decision trees, In II Brazilian Symposium on Bioinformatics, volume 4643 of Lecture Notes in Bioinformatics, pages 126-137, Berlin, Heidelberg, 2007. Springer-Verlag.
-
(2007)
II Brazilian Symposium on Bioinformatics, Volume 4643 of Lecture Notes in Bioinformatics
, pp. 126-137
-
-
Costa, E.P.1
Lorena, A.C.2
Carvalho, A.C.3
Freitas, A.A.4
Holden, N.5
-
15
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer and Y. Singer, On the algorithmic implementation of multiclass kernel-based vector machines, Machine Learning 2 (2002), 265-292.
-
(2002)
Machine Learning
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
16
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demšar, Statistical comparisons of classifiers over multiple data sets, Journal of Machine Learning Research 7 (2006), 1-30.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
17
-
-
79959386955
-
-
E. Dimitriadou, K. Hornik, F. Leisch, D. Meyer and A. Weingessel, r-cran-e1071, 2008.
-
(2008)
R-Cran-E1071
-
-
Dimitriadou, E.1
Hornik, K.2
Leisch, F.3
Meyer, D.4
Weingessel, A.5
-
18
-
-
78651371696
-
Hierarchical annotation of medical images
-
I. Dimitrovski, D. Kocev, S. Loskovska and S.Dzeroski, Hierarchical annotation of medical images, In 11th International Multiconference Information Society, volume A, pages 174-177, 2008.
-
(2008)
11th International Multiconference Information Society
, vol.A
, pp. 174-177
-
-
Dimitrovski, I.1
Kocev, D.2
Loskovska, S.3
Dzeroski, S.4
-
19
-
-
2542631648
-
Kernel methods for multi-labelled classification and categorical regression problems
-
MIT Press
-
A. Elisseeff and J. Weston, Kernel methods for multi-labelled classification and categorical regression problems, In In Advances in Neural Information Processing Systems 14, pages 681-687. MIT Press, 2001.
-
(2001)
Advances in Neural Information Processing Systems
, vol.14
, pp. 681-687
-
-
Elisseeff, A.1
Weston, J.2
-
21
-
-
43949121902
-
Boosting multi-label hierarchical text categorization
-
A. Esuli, T. Fagni and F. Sebastiani, Boosting multi-label hierarchical text categorization, Inf Retr 11(4) (2008), 287-313.
-
(2008)
Inf Retr
, vol.11
, Issue.4
, pp. 287-313
-
-
Esuli, A.1
Fagni, T.2
Sebastiani, F.3
-
22
-
-
84899193751
-
-
chapter VII. Idea Group, January. Research and Trends in Data Mining Technologies and Applications
-
A.A. Freitas and A.C. Carvalho, A Tutorial on Hierarchical Classification with Applications in Bioinformatics, volume 1, chapter VII, pages 175-208. Idea Group, January 2007. Research and Trends in Data Mining Technologies and Applications.
-
(2007)
A Tutorial on Hierarchical Classification with Applications in Bioinformatics
, vol.1
, pp. 175-208
-
-
Freitas, A.A.1
Carvalho, A.C.2
-
23
-
-
84944811700
-
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
-
M. Friedman, The use of ranks to avoid the assumption of normality implicit in the analysis of variance, Journal of the American Statistical Association 32(200) (1937), 675-701.
-
(1937)
Journal of the American Statistical Association
, vol.32
, Issue.200
, pp. 675-701
-
-
Friedman, M.1
-
24
-
-
0031276011
-
Bayesian network classifiers
-
N. Friedman, D. Geiger and M. Goldszmidt, Bayesian network classifiers, Mach Learn 29(2-3) (1997), 131-163.
-
(1997)
Mach Learn
, vol.29
, Issue.2-3
, pp. 131-163
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
25
-
-
85030313899
-
Ohsumed: An interactive retrieval evaluation and new large test collection for research
-
New York, NY, USA. Springer-Verlag New York, Inc
-
W. Hersh, C. Buckley, T.J. Leone and D. Hickam, Ohsumed: an interactive retrieval evaluation and new large test collection for research, In SIGIR '94: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, pages 192-201, New York, NY, USA, 1994. Springer-Verlag New York, Inc.
-
(1994)
SIGIR '94: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 192-201
-
-
Hersh, W.1
Buckley, C.2
Leone, T.J.3
Hickam, D.4
-
26
-
-
67349192921
-
Open-source machine learning: R meets Weka
-
K. Hornik, C. Buchta and A. Zeileis, Open-source machine learning: R meets Weka, Computational Statistics 24(2) (2009), 225-232.
-
(2009)
Computational Statistics
, vol.24
, Issue.2
, pp. 225-232
-
-
Hornik, K.1
Buchta, C.2
Zeileis, A.3
-
27
-
-
33847223590
-
Hierarchical text categorization as a tool of associating genes with gene ontology codes
-
Pisa, Italy
-
S. Kiritchenko, S. Matwin and A.F. Famili, Hierarchical text categorization as a tool of associating genes with gene ontology codes, In Proceedings of the Second European Workshop on Data Mining and Text Mining in Bioinformatics, pages 30-34, Pisa, Italy, 2004.
-
(2004)
Proceedings of the Second European Workshop on Data Mining and Text Mining in Bioinformatics
, pp. 30-34
-
-
Kiritchenko, S.1
Matwin, S.2
Famili, A.F.3
-
29
-
-
84876811202
-
Rcv1: A new benchmark collection for text categorization research
-
D.D. Lewis, Y. Yang, T.G. Rose and F. Li, Rcv1: A new benchmark collection for text categorization research, Journal Machine Learning Research 5 (2004), 361-397.
-
(2004)
Journal Machine Learning Research
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.G.3
Li, F.4
-
30
-
-
0036081347
-
Mips: A database for genomes and protein sequences
-
H.W. Mewes, D. Frishman, U. Güldener, G. Mannhaupt, K. Mayer, M. Mokrejs, B. Morgenstern, M. Münsterkötter, S. Rudd and B. Weil, Mips: a database for genomes and protein sequences, Nucleic Acids Res 30(1) (2002), 31-34.
-
(2002)
Nucleic Acids Res
, vol.30
, Issue.1
, pp. 31-34
-
-
Mewes, H.W.1
Frishman, D.2
Güldener, U.3
Mannhaupt, G.4
Mayer, K.5
Mokrejs, M.6
Morgenstern, B.7
Münsterkötter, M.8
Rudd, S.9
Weil, B.10
-
33
-
-
67650679633
-
A hierarchical classification ant colony algorithm for predicting gene ontology terms
-
C. Pizzuti, M. Ritchie and M. Giacobini, eds, volume Lecture Notes in Computer Science 5483. Springer, March
-
F. Otero, A. Freitas and C. Johnson, A hierarchical classification ant colony algorithm for predicting gene ontology terms, in: Proc. 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBio-2009), C. Pizzuti, M. Ritchie and M. Giacobini, eds, volume Lecture Notes in Computer Science 5483, pages 68-79. Springer, March 2009,
-
(2009)
Proc. 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBio-2009
, pp. 68-79
-
-
Otero, F.1
Freitas, A.2
Johnson, C.3
-
34
-
-
0003500248
-
-
Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
-
J.R. Quinlan, C4.5: programs for machine learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.
-
(1993)
C4.5: Programs for Machine Learning
-
-
Quinlan, J.R.1
-
35
-
-
5344244656
-
-
R. Development Core Team. R Foundation for Statistical Computing Vienna Austria
-
R Development Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2008.
-
(2008)
R: A Language and Environment for Statistical Computing
-
-
-
36
-
-
33745768424
-
Kernel-based learning of hierarchical multilabel classification models
-
J. Rousu, C. Saunders, S. Szedmak and J. Shawe-Taylor, Kernel-based learning of hierarchical multilabel classification models, Journal of Machine Learning Research 7 (2006), 1601-1626.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1601-1626
-
-
Rousu, J.1
Saunders, C.2
Szedmak, S.3
Shawe-Taylor, J.4
-
37
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
Hingham, MA, USA. Kluwer Academic Publishers
-
R.E. Schapire and Y. Singer, Improved boosting algorithms using confidence-rated predictions, In Machine Learning, volume 37, pages 297-336, Hingham, MA, USA, 1999. Kluwer Academic Publishers.
-
(1999)
Machine Learning
, vol.37
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
38
-
-
8844262557
-
-
X. Shen, M. Boutell, J. Luo and C. Brown, Multi-label machine learning and its application to semantic scene classification, volume 5307, pages 188-199, 2004.
-
(2004)
Multi-Label Machine Learning and its Application to Semantic Scene Classification
, vol.5307
, pp. 188-199
-
-
Shen, X.1
Boutell, M.2
Luo, J.3
Brown, C.4
-
39
-
-
78651375098
-
A survey of hierarchical classification across different application domains
-
C. Silla Jr and A. Freitas, A survey of hierarchical classification across different application domains, Data Mining and Knowledge Discovery 22(1-2) (2011), 31-72.
-
(2011)
Data Mining and Knowledge Discovery
, vol.22
, Issue.1-2
, pp. 31-72
-
-
Silla Jr., C.1
Freitas, A.2
-
41
-
-
14344253870
-
Max-margin markov networks
-
S. Thrun, L.K. Saul and B. Schölkopf, eds. MIT Press
-
B. Taskar, C. Guestrin and D. Koller, Max-margin markov networks, in: Advances in Neural Information Processing Systems 16, S. Thrun, L.K. Saul and B. Schölkopf, eds, pages 25-32. MIT Press, 2003.
-
(2003)
Advances in Neural Information Processing Systems
, vol.16
, pp. 25-32
-
-
Taskar, B.1
Guestrin, C.2
Koller, D.3
-
42
-
-
0035751912
-
Text classification in a hierarchical mixture model for small training sets
-
New York, NY, USA. ACM
-
K. Toutanova, F. Chen, K. Popat and T. Hofmann, Text classification in a hierarchical mixture model for small training sets, In CIKM '01: Proceedings of the tenth international conference on Information and knowledge management, pages 105-113, New York, NY, USA, 2001. ACM.
-
(2001)
CIKM '01: Proceedings of the Tenth International Conference on Information and Knowledge Management
, pp. 105-113
-
-
Toutanova, K.1
Chen, F.2
Popat, K.3
Hofmann, T.4
-
43
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
I. Tsochantaridis, T. Joachims, T. Hofmann and Y. Altun, Large margin methods for structured and interdependent output variables, Journal of Machine Learning Research 6 (2005), 1453-1484.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
44
-
-
38049123909
-
Random k-labelsets: An ensemble method for multilabel classification. In
-
Warsaw, Poland
-
G. Tsoumakas and I. Vlahavas, Random k-labelsets: An ensemble method for multilabel classification. In Proceedings of the 18th European Conference on Machine Learning (ECML 2007), pages 406-417, Warsaw, Poland, 2007.
-
Proceedings of the 18th European Conference on Machine Learning (ECML 2007
, vol.2007
, pp. 406-417
-
-
Tsoumakas, G.1
Vlahavas, I.2
-
45
-
-
70349319699
-
True path rule hierarchical ensembles. In
-
Berlin, Heidelberg. Springer-Verlag
-
G. Valentini, True path rule hierarchical ensembles. In MCS '09: Proceedings of the 8th International Workshop on Multiple Classifier Systems, volume 5519 of Lecture Notes in Bioinformatics, pages 232-241, Berlin, Heidelberg, 2009. Springer-Verlag.
-
(2009)
MCS '09: Proceedings of the 8th International Workshop on Multiple Classifier Systems, Volume 5519 of Lecture Notes in Bioinformatics
, pp. 232-241
-
-
Valentini, G.1
-
47
-
-
52949141834
-
Decision trees for hierarchical multi-label classification
-
C. Vens, J. Struyf, L. Schietgat, S. Džeroski and H. Blockeel, Decision trees for hierarchical multi-label classification, Machine Learning 73(2) (2008), 185-214.
-
(2008)
Machine Learning
, vol.73
, Issue.2
, pp. 185-214
-
-
Vens, C.1
Struyf, J.2
Schietgat, L.3
Džeroski, S.4
Blockeel, H.5
-
48
-
-
84856499190
-
-
WIPO World Intellectual Property Organization
-
WIPO, World Intellectual Property Organization, 2001. http://www.wipo.int/portal/index.html.en.
-
(2001)
-
-
-
49
-
-
81855221765
-
-
Springer, Oded Maimon and Lior Rokach
-
G. Tsoumakas, I. Katakis and I.P.Vlahavas,MiningMulti-label Data, DataMining and Knowledge Discovery Handbook, Springer, 2010, Oded Maimon and Lior Rokach, 667-685.
-
(2010)
Mining Multi-Label Data Data Mining Knowledge Discovery Handbook
, pp. 667-685
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.P.3
|