-
2
-
-
0033656184
-
Hierarchical classification of web content
-
New York, NY, USA
-
S. Dumais, H. Chen, Hierarchical classification of web content, in: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, New York, NY, USA, 2000, pp. 256263.
-
(2000)
Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM
, pp. 256-263
-
-
Dumais, S.1
Chen, H.2
-
3
-
-
0242659655
-
Hierarchical text categorization using neural networks
-
M. Ruiz, and P. Srinivasan Hierarchical text categorization using neural networks Information Retrieval 5 1 2002 87 118
-
(2002)
Information Retrieval
, vol.5
, Issue.1
, pp. 87-118
-
-
Ruiz, M.1
Srinivasan, P.2
-
5
-
-
52949141834
-
Decision trees for hierarchical multi-label classification
-
C. Vens, J. Struyf, L. Schietgat, S. Deroski, 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
Deroski, S.4
Blockeel, H.5
-
7
-
-
33749264456
-
Hierarchical classification: Combining Bayes with SVM
-
New York, NY, USA
-
N. Cesa-Bianchi, C. Gentile, L. Zaniboni, Hierarchical classification: combining Bayes with SVM, in: Proceedings of the 23rd International Conference on Machine Learning, ACM, New York, NY, USA, 2006, pp. 177184.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning, ACM
, pp. 177-184
-
-
Cesa-Bianchi, N.1
Gentile, C.2
Zaniboni, L.3
-
9
-
-
18744367558
-
Hierarchical document categorization with support vector machines
-
New York, NY, USA
-
L. Cai, T. Hofmann, Hierarchical document categorization with support vector machines, in: Proceedings of the 13th ACM International Conference on Information and Knowledge Management, ACM, New York, NY, USA, 2004, pp. 7887.
-
(2004)
Proceedings of the 13th ACM International Conference on Information and Knowledge Management, ACM
, pp. 78-87
-
-
Cai, L.1
Hofmann, T.2
-
11
-
-
33749582181
-
Automatically learning document taxonomies for hierarchical classification
-
New York, NY, USA
-
K. Punera, S. Rajan, J. Ghosh, Automatically learning document taxonomies for hierarchical classification, in: International World Wide Web Conference, ACM, New York, NY, USA, 2005, pp. 10101011.
-
(2005)
International World Wide Web Conference, ACM
, pp. 1010-1011
-
-
Punera, K.1
Rajan, S.2
Ghosh, J.3
-
12
-
-
84898938411
-
Probabilistic abstraction hierarchies
-
E. Segal, D. Koller, and D. Ormoneit Probabilistic abstraction hierarchies T. Dietterich, S. Becker, Z. Ghahramani, Advances in Neural Information Processing Systems vol. 14 2002 MIT Press Cambridge, MA 913 920
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
, pp. 913-920
-
-
Segal, E.1
Koller, D.2
Ormoneit, D.3
-
13
-
-
84880663504
-
The cluster-abstraction model: Unsupervised learning of topic hierarchies from text data
-
T. Hofmann, The cluster-abstraction model: unsupervised learning of topic hierarchies from text data, in: International Joint Conference on Artificial Intelligence, vol. 16, 1999, pp. 682687.
-
(1999)
International Joint Conference on Artificial Intelligence
, vol.16
, pp. 682-687
-
-
Hofmann, T.1
-
18
-
-
60349100473
-
Discovery of hierarchical thematic structure in text collections with adaptive resonance theory
-
L. Massey Discovery of hierarchical thematic structure in text collections with adaptive resonance theory Neural Computing & Applications 18 3 2009 261 273
-
(2009)
Neural Computing & Applications
, vol.18
, Issue.3
, pp. 261-273
-
-
Massey, L.1
-
19
-
-
19344374461
-
Self-organizing information fusion and hierarchical knowledge discovery: A new framework using ARTMAP neural networks
-
G. Carpenter, S. Martens, and O. Ogas Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks Neural Networks 18 3 2005 287 295
-
(2005)
Neural Networks
, vol.18
, Issue.3
, pp. 287-295
-
-
Carpenter, G.1
Martens, S.2
Ogas, O.3
-
21
-
-
70349847753
-
ART-based neural networks for multi-label classification
-
E.P. Sapozhnikova, ART-based neural networks for multi-label classification, in: IDA, 2009, pp. 167177.
-
(2009)
IDA
, pp. 167-177
-
-
Sapozhnikova, E.P.1
-
22
-
-
0029009071
-
Adaptive resonance associative map
-
A. Tan Adaptive resonance associative map Neural Networks 8 3 1995 437 446
-
(1995)
Neural Networks
, vol.8
, Issue.3
, pp. 437-446
-
-
Tan, A.1
-
23
-
-
33947681316
-
ML-kNN: A lazy learning approach to multi-label learning
-
M. Zhang, and Z. Zhou ML-kNN: a lazy learning approach to multi-label learning Pattern Recognition 40 7 2007 2038 2048
-
(2007)
Pattern Recognition
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.1
Zhou, Z.2
-
24
-
-
0033905095
-
BoosTexter: A boosting-based system for text categorization
-
R. Schapire, and Y. Singer BoosTexter: a boosting-based system for text categorization Machine Learning 39 2 2000 135 168
-
(2000)
Machine Learning
, vol.39
, Issue.2
, pp. 135-168
-
-
Schapire, R.1
Singer, Y.2
-
25
-
-
0001858630
-
A constrained edit distance between unordered labeled trees
-
K. Zhang A constrained edit distance between unordered labeled trees Algorithmica 15 3 1996 205 222
-
(1996)
Algorithmica
, vol.15
, Issue.3
, pp. 205-222
-
-
Zhang, K.1
-
27
-
-
0021776661
-
A massively parallel architecture for a self-organizing neural pattern recognition machine
-
G. Carpenter, and S. Grossberg A massively parallel architecture for a self-organizing neural pattern recognition machine Computer Vision, Graphics, and Image Processing 37 1 1987 54 115
-
(1987)
Computer Vision, Graphics, and Image Processing
, vol.37
, Issue.1
, pp. 54-115
-
-
Carpenter, G.1
Grossberg, S.2
-
28
-
-
19344363436
-
Predictive neural networks for gene expression data analysis
-
A. Tan, and H. Pan Predictive neural networks for gene expression data analysis Neural Networks 18 2005 297 306
-
(2005)
Neural Networks
, vol.18
, pp. 297-306
-
-
Tan, A.1
Pan, H.2
-
29
-
-
0032123427
-
Distributed ARTMAP: A neural network for fast distributed supervised learning
-
G. Carpenter, B. Milenova, and B. Noeske Distributed ARTMAP: a neural network for fast distributed supervised learning Neural Networks 11 5 1998 793 813
-
(1998)
Neural Networks
, vol.11
, Issue.5
, pp. 793-813
-
-
Carpenter, G.1
Milenova, B.2
Noeske, B.3
-
30
-
-
0029341754
-
ART-EMAP: A neural network architecture for learning and prediction by evidence accumulation
-
G. Carpenter, and W. Ross ART-EMAP: a neural network architecture for learning and prediction by evidence accumulation IEEE Transactions on Neural Networks 6 1995 805 818
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. 805-818
-
-
Carpenter, G.1
Ross, W.2
-
31
-
-
0026923589
-
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
-
G. Carpenter, S. Grossberg, N. Markuzon, J. Reynolds, and D. Rosen Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps IEEE Transactions on Neural Networks 3 5 1992 698 713
-
(1992)
IEEE Transactions on Neural Networks
, vol.3
, Issue.5
, pp. 698-713
-
-
Carpenter, G.1
Grossberg, S.2
Markuzon, N.3
Reynolds, J.4
Rosen, D.5
-
32
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund, and R. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 55 1 1997 119 139
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
33
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
New York, NY, USA
-
R. Agrawal, T. Imieliski, A. Swami, Mining association rules between sets of items in large databases, in: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, ACM, New York, NY, USA, 1993, pp. 207216.
-
(1993)
Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, ACM
, pp. 207-216
-
-
Agrawal, R.1
Imieli, T.2
Swami, A.3
-
34
-
-
38049123909
-
Random K-Labelsets: An ensemble method for multilabel classification
-
G. Tsoumakas, and I. Vlahavas Random K-Labelsets: an ensemble method for multilabel classification Lecture Notes in Computer Science vol. 4701 2007 406
-
(2007)
Lecture Notes in Computer Science
, vol.4701
, pp. 406
-
-
Tsoumakas, G.1
Vlahavas, I.2
-
35
-
-
23844449054
-
Graph matching: Theoretical foundations, algorithms, and applications
-
H. Bunke Graph matching: theoretical foundations, algorithms, and applications Proceedings of the Vision Interface 2000 82 88
-
(2000)
Proceedings of the Vision Interface
, pp. 82-88
-
-
Bunke, H.1
-
36
-
-
0018491659
-
The tree-to-tree correction problem
-
K. Tai The tree-to-tree correction problem Journal of the ACM (JACM) 26 3 1979 422 433
-
(1979)
Journal of the ACM (JACM)
, vol.26
, Issue.3
, pp. 422-433
-
-
Tai, K.1
-
37
-
-
84958593114
-
Similarity measures for object-oriented case representations
-
R. Bergmann, and A. Stahl Similarity measures for object-oriented case representations Lecture Notes in Computer Science 1998 25 36
-
(1998)
Lecture Notes in Computer Science
, pp. 25-36
-
-
Bergmann, R.1
Stahl, A.2
-
39
-
-
37249011476
-
A conceptual graph based approach to ontology similarity measure
-
M. Croitoru, B. Hu, S. Dashmapatra, P. Lewis, D. Dupplaw, and L. Xiao A conceptual graph based approach to ontology similarity measure Lecture Notes in Computer Science vol. 4604 2007 154
-
(2007)
Lecture Notes in Computer Science
, vol.4604
, pp. 154
-
-
Croitoru, M.1
Hu, B.2
Dashmapatra, S.3
Lewis, P.4
Dupplaw, D.5
Xiao, L.6
-
40
-
-
84942598534
-
Nodal distance algorithm: Calculating a phylogenetic tree comparison metric
-
Los Alamitos, CA
-
J. Bluis, D. Shin, Nodal distance algorithm: calculating a phylogenetic tree comparison metric, in: Proceedings of the Third IEEE Symposium on BioInformatics and BioEngineering, IEEE, Los Alamitos, CA, 2003, pp. 8794.
-
(2003)
Proceedings of the Third IEEE Symposium on BioInformatics and BioEngineering, IEEE
, pp. 87-94
-
-
Bluis, J.1
Shin, D.2
-
41
-
-
0028399555
-
Some MAX SNP-Hard results concerning unordered labeled trees
-
K. Zhang, and T. Jiang Some MAX SNP-Hard results concerning unordered labeled trees Information Processing Letters 49 5 1994 249 254
-
(1994)
Information Processing Letters
, vol.49
, Issue.5
, pp. 249-254
-
-
Zhang, K.1
Jiang, T.2
-
43
-
-
0002409860
-
A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
-
San Francisco, CA, USA
-
T. Joachims, A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization, in: Proceedings of the 14th International Conference on Machine Learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1997, pp. 143151.
-
(1997)
Proceedings of the 14th International Conference on Machine Learning, Morgan Kaufmann Publishers Inc.
, pp. 143-151
-
-
Joachims, T.1
|