-
1
-
-
0030288690
-
The world wide web: Quagmire or gold mine
-
Etzioni O. The world wide web: Quagmire or gold mine. Communications of the ACM, 1996, 39(11): 65-68.
-
(1996)
Communications of the ACM
, vol.39
, Issue.11
, pp. 65-68
-
-
Etzioni, O.1
-
3
-
-
0030649484
-
Solving the multiple-instance problem with axis-parallel rectangles
-
Dietterich TG, Lathrop RH, Lozano-Perez T. Solving the multiple-instance problem with axis-parallel rectangles. Artificial Intelligence, 1997, 89(1-2): 31-71.
-
(1997)
Artificial Intelligence
, vol.89
, Issue.1-2
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Perez, T.3
-
4
-
-
0004082786
-
Learning from ambiguity
-
Ph.D. thesis, Cambridge: Massachusetts Institute of Technology
-
Maron O. Learning from ambiguity [Ph.D. Thesis]. Cambridge: Massachusetts Institute of Technology, 1998.
-
(1998)
-
-
Maron, O.1
-
5
-
-
84898935332
-
A framework for multiple-instance learning
-
Jordan M.I., Kearns M.J. and Solla S.A. (ed.), Chinese source
-
Maron O, Lozano-Perez T. A framework for multiple-instance learning. In: Jordan MI, Kearns MJ, Solla SA, eds. Advances in Neural Information Processing Systems 10. Cambridge: MIT Press, 1998. 570-576.
-
(1998)
Advances in Neural Information Processing Systems
, vol.10
, pp. 570-576
-
-
Maron, O.1
Lozano-Perez, T.2
-
6
-
-
0141596676
-
Solving the multiple-instance problem: A lazy learning approach
-
Langley P. (ed.), San Francisco: Morgan Kaufmann Publishers
-
Wang J, Zucker JD. Solving the multiple-instance problem: A lazy learning approach. In: Langley P, ed. Proc. of 17th Int'l Conf. on Machine Learning. San Francisco: Morgan Kaufmann Publishers, 2000. 1119-1125.
-
(2000)
Proc. of 17th Int'l Conf. on Machine Learning
, pp. 1119-1125
-
-
Wang, J.1
Zucker, J.D.2
-
7
-
-
84949443498
-
Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem
-
Stroulia E. and Matwin S. (ed.), Berlin: Springer-Verlag
-
Chevaleyre Y, Zucker JD. Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem. In: Stroulia E, Matwin S, eds. Lecture Notes in Artificial Intelligence 2056, Berlin: Springer-Verlag, 2001. 204-214
-
(2001)
Lecture Notes in Artificial Intelligence
, vol.2056
, pp. 204-214
-
-
Chevaleyre, Y.1
Zucker, J.D.2
-
8
-
-
8644288502
-
Solving the multi-instance problem with neural networks
-
Technical Report, Nanjing: AI Laboratory, Department of Computer Science and Technology, Nanjing University
-
Zhou ZH, Zhang ML. Solving the multi-instance problem with neural networks. Technical Report, Nanjing: AI Laboratory, Department of Computer Science and Technology, Nanjing University, 2002.
-
(2002)
-
-
Zhou, Z.H.1
Zhang, M.L.2
-
9
-
-
1642273823
-
Ensembles of multi-instance learners
-
Lavrac N., Gamberger D., Blockeel H. and Todorovski L. (ed.), Berlin: Springer-Verlag
-
Zhou ZH, Zhang ML. Ensembles of multi-instance learners. In: Lavrac N, Gamberger D, Blockeel H, Todorovski L, eds. Lecture Notes in Artificial Intelligence 2837, Berlin: Springer-Verlag, 2003. 492-502.
-
(2003)
Lecture Notes in Artificial Intelligence
, vol.2837
, pp. 492-502
-
-
Zhou, Z.H.1
Zhang, M.L.2
-
10
-
-
0031701616
-
PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples
-
Long PM, Tan L. PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples. Machine Learning, 1998, 30(1): 7-21.
-
(1998)
Machine Learning
, vol.30
, Issue.1
, pp. 7-21
-
-
Long, P.M.1
Tan, L.2
-
11
-
-
0032302519
-
Approximating hyper-rectangles: Learning and pseudo-random sets
-
Auer P, Long PM, Srinivasan A. Approximating hyper-rectangles: Learning and pseudo-random sets. Journal of Computer and System Sciences, 1998, 57(3): 376-388.
-
(1998)
Journal of Computer and System Sciences
, vol.57
, Issue.3
, pp. 376-388
-
-
Auer, P.1
Long, P.M.2
Srinivasan, A.3
-
12
-
-
0038089701
-
Research on fast high-frequency strings extracting and statistics algorithm with no thesaurus
-
Chinese source
-
Han KS, Wang YC, Chen GL. Research on fast high-frequency strings extracting and statistics algorithm with no thesaurus. Journal of Chinese Information Processing, 2001, 15(2): 23-30 (in Chinese with English abstract).
-
(2001)
Journal of Chinese Information Processing
, vol.15
, Issue.2
, pp. 23-30
-
-
Han, K.S.1
Wang, Y.C.2
Chen, G.L.3
-
13
-
-
8644250020
-
A domain-independent dictionary-free lexical acquisition model for Chinese document
-
Chinese source
-
Jin XY, Sun ZX, Zhang FY. A domain-independent dictionary-free lexical acquisition model for Chinese document. Journal of Chinese Information Processing, 2001, 15(6): 33-39 (in Chinese with English abstract).
-
(2001)
Journal of Chinese Information Processing
, vol.15
, Issue.6
, pp. 33-39
-
-
Jin, X.Y.1
Sun, Z.X.2
Zhang, F.Y.3
-
14
-
-
0002676017
-
Lazy learning: Special issue editorial
-
Aha DW. Lazy learning: Special issue editorial. Artificial Intelligence Review, 1997, 11(1-5): 7-10.
-
(1997)
Artificial Intelligence Review
, vol.11
, Issue.1-5
, pp. 7-10
-
-
Aha, D.W.1
-
16
-
-
0002409860
-
A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
-
Fisher D. (ed.), San Francisco: Morgan Kaufmann Publishers
-
Joachims T. A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In: Fisher D, ed. Proc. of the 14th Int'l Conf. on Machine Learning. San Francisco: Morgan Kaufmann Publishers, 1997. 143-151.
-
(1997)
Proc. of the 14th Int'l Conf. on Machine Learning
, pp. 143-151
-
-
Joachims, T.1
|