-
1
-
-
56049103126
-
Exceptional model mining
-
LNCS Springer, Heidelberg
-
D. Leman, A. Feelders, A. J. Knobbe, Exceptional Model Mining, Proc. ECML/PKDD (2) 2008, LNCS, volume 5212, pp. 1-16, Springer, Heidelberg.
-
(2008)
Proc. ECML/PKDD
, vol.5212
, Issue.2
, pp. 1-16
-
-
Leman, D.1
Feelders, A.2
Knobbe, A.J.3
-
3
-
-
0003223784
-
Multi-label text classification with a mixture model trained by EM
-
A. K. McCallum, Multi-label text classification with a mixture model trained by EM, AAAI 1999 Workshop on Text Learning.
-
AAAI 1999 Workshop on Text Learning
-
-
McCallum, A.K.1
-
4
-
-
0002596015
-
Food web complexity and species diversity
-
R. T. Paine, Food Web Complexity and Species Diversity, The American Naturalist 100 (910), pp. 65-75, 1966.
-
(1966)
The American Naturalist
, vol.100
, Issue.910
, pp. 65-75
-
-
Paine, R.T.1
-
5
-
-
4344568017
-
Bayesian reconstruction of traffic accidents
-
G. A. Davis, Bayesian reconstruction of traffic accidents, Law, Probability and Risk 2, pp. 69-89, 2003.
-
(2003)
Law, Probability and Risk
, vol.2
, pp. 69-89
-
-
Davis, G.A.1
-
6
-
-
0343488681
-
DIAVAL, a Bayesian expert system for echocardiography
-
DOI 10.1016/S0933-3657(97)00384-9, PII S0933365797003849
-
F. J. Díez, J. Mira, E. Iturralde, S. Zubillaga, DIAVAL, a Bayesian expert system for echocardiography, Artificial Intelligence in Medicine 10, pp. 59-73, 1997. (Pubitemid 27239418)
-
(1997)
Artificial Intelligence in Medicine
, vol.10
, Issue.1
, pp. 59-73
-
-
Diez, F.J.1
Mira, J.2
Iturralde, E.3
Zubillaga, S.4
-
7
-
-
27644580886
-
Using Bayesian networks to model expected and unexpected operational losses
-
M. Neil, N. Fenton, M. Tailor, Using Bayesian Networks to Model Expected and Unexpected Operational Losses, Risk Analysis 25 (4), 2005.
-
(2005)
Risk Analysis
, vol.25
, Issue.4
-
-
Neil, M.1
Fenton, N.2
Tailor, M.3
-
8
-
-
34547997350
-
On learning linear ranking functions for beam search
-
Proc. ICML 2007 ACM, New York
-
Y. H. Xu, A. Fern, On Learning Linear Ranking Functions for Beam Search, Proc. ICML 2007, ACM International Conference Proceeding Series vol. 227, pp. 1047-1054, ACM, New York.
-
ACM International Conference Proceeding Series
, vol.227
, pp. 1047-1054
-
-
Xu, Y.H.1
Fern, A.2
-
10
-
-
0003687180
-
-
Springer-Verlag, New York
-
R. G. Cowell, A. P. Dawid, S. L. Lauritzen, D. J. Spiegel-halter, Probabilistic Networks and Expert Systems, Springer-Verlag, New York, pp. 31-33, 1999.
-
(1999)
Probabilistic Networks and Expert Systems
, pp. 31-33
-
-
Cowell, R.G.1
Dawid, A.P.2
Lauritzen, S.L.3
Spiegel-Halter, D.J.4
-
11
-
-
0001926525
-
Theory refinement on Bayesian networks
-
Morgan Kaufmann, San Francisco
-
W. L. Buntine, Theory Refinement on Bayesian Networks, Proc. UAI 1991, pp. 52-60, Morgan Kaufmann, San Francisco.
-
Proc. UAI 1991
, pp. 52-60
-
-
Buntine, W.L.1
-
12
-
-
0002370418
-
A tutorial on learning with Bayesian networks
-
Kluwer Academic Publishers, Norwell, MA
-
D. Heckerman, A Tutorial on Learning with Bayesian Networks, Proc. NATO Advanced Study Institute on Learning in Graphical Models, pp. 301-354, Kluwer Academic Publishers, Norwell, MA, 1998.
-
(1998)
Proc. NATO Advanced Study Institute on Learning in Graphical Models
, pp. 301-354
-
-
Heckerman, D.1
-
13
-
-
0030245966
-
Structure learning of bayesian networks by genetic algorithms: A performance analysis of control parameters
-
P. Larrañaga, M. Poza, Y. Yurramendi, R. H. Murga, C. M. H. Kuijpers, Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters, IEEE Trans. Pattern Anal. Mach. Intell. 18 (9), pp. 912-926, 1996. (Pubitemid 126772833)
-
(1996)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.18
, Issue.9
, pp. 912-926
-
-
Larranaga, P.1
-
14
-
-
34249761849
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
D. Heckerman, D. Geiger, D. M. Chickering, Learning Bayesian networks: The combination of knowledge and statistical data, Machine Learning 20, pp. 197-243, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
15
-
-
0002013121
-
A transformational characterization of equivalent Bayesian network structures
-
Morgan Kaufmann, San Francisco
-
D. M. Chickering, A Transformational Characterization of Equivalent Bayesian Network Structures, Proc. UAI 1995, pp. 87-98, Morgan Kaufmann, San Francisco.
-
Proc. UAI 1995
, pp. 87-98
-
-
Chickering, D.M.1
-
17
-
-
0031531764
-
A characterization of Markov equivalence classes for acyclic digraphs
-
S. A. Andersson, D. Madigan, M. D. Perlman, A Characterization of Markov Equivalence Classes for Acyclic Digraphs, Annals of Statistics, 25 (2), pp. 505-541, 1997.
-
(1997)
Annals of Statistics
, vol.25
, Issue.2
, pp. 505-541
-
-
Andersson, S.A.1
Madigan, D.2
Perlman, M.D.3
-
18
-
-
0042496103
-
Learning Equivalence Classes of Bayesian-Network Structures
-
DOI 10.1162/153244302760200696
-
D. M. Chickering, Learning Equivalence Classes of Bayesian-Network Structures, Journal of Machine Learning Research 2, pp. 445-498, 2002. (Pubitemid 135712569)
-
(2002)
Journal of Machine Learning Research
, vol.2
, Issue.3
, pp. 445-498
-
-
Chickering, D.M.1
-
19
-
-
0002095306
-
Equivalence and synthesis of causal models
-
Elsevier, Amsterdam
-
T. Verma, J. Pearl, Equivalence and Synthesis of Causal Models, Proc. UAI 1990, pp. 255-270, Elsevier, Amsterdam.
-
Proc. UAI 1990
, pp. 255-270
-
-
Verma, T.1
Pearl, J.2
-
21
-
-
80055037991
-
Combining instance-based learning and logistic regression for multilabel classification
-
LNCS Springer, Heidelberg
-
W. Cheng, E. Hüllermeier, Combining Instance-Based Learning and Logistic Regression for Multilabel Classification, Proc. ECML/PKDD (1) 2009, LNCS, volume 5781, pp. 6, Springer, Heidelberg.
-
(2009)
Proc. ECML/PKDD
, vol.5781
, Issue.1
, pp. 6
-
-
Cheng, W.1
Hüllermeier, E.2
-
22
-
-
84873447495
-
Multi-label classification of music into emotions
-
K. Trohidis, G. Tsoumakas, G. Kalliris, I. P. Vlahavas, Multi-Label Classification of Music into Emotions, Proc. 9th International Conference on Music Information Retrieval, pp. 325-330, 2008.
-
(2008)
Proc. 9th International Conference on Music Information Retrieval
, pp. 325-330
-
-
Trohidis, K.1
Tsoumakas, G.2
Kalliris, G.3
Vlahavas, I.P.4
-
23
-
-
3042597440
-
Learning multi-label scene classification
-
DOI 10.1016/j.patcog.2004.03.009, PII S0031320304001074
-
M. R. Boutell, J. Luo, X. Shen, C. M. Brown, Learning Multi-Label Scene Classification, Pattern Recognition 37 (9), pp. 1757-1771, 2004. (Pubitemid 38804465)
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
24
-
-
76649137444
-
A kernel method for multi-labelled classification
-
MIT Press, Cambridge MA
-
A. Elisseeff, J. Weston, A Kernel Method for Multi-Labelled Classification, Advances in Neural Information Processing Systems 14, pp. 681-687, MIT Press, Cambridge MA, 2002.
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
, pp. 681-687
-
-
Elisseeff, A.1
Weston, J.2
-
27
-
-
34447505074
-
Biogeography of European land mammals shows environmentally distinct and spatially coherent clusters
-
DOI 10.1111/j.1365-2699.2006.01664.x
-
H. Heikinheimo, M. Fortelius, J. Eronen, H. Manilla, Biogeography of European land mammals shows environmentally distinct and spatially coherent clusters, Journal of Biogeography 34 (6), pp. 1053-1064, 2007. (Pubitemid 47074535)
-
(2007)
Journal of Biogeography
, vol.34
, Issue.6
, pp. 1053-1064
-
-
Heikinheimo, H.1
Fortelius, M.2
Eronen, J.3
Mannila, H.4
-
28
-
-
34748853159
-
Spectral centroid and timbre in complex, multiple instrumental textures
-
E. Schubert, J. Wolfe, A. Tarnopolsky, Spectral centroid and timbre in complex, multiple instrumental textures, Proc. 8th International Conference on Music Perception & Cognition, pp. 654-657, 2004.
-
(2004)
Proc. 8th International Conference on Music Perception & Cognition
, pp. 654-657
-
-
Schubert, E.1
Wolfe, J.2
Tarnopolsky, A.3
-
30
-
-
85023205150
-
Matrix multiplication via arithmetic progressions
-
D. Coppersmith, S. Winograd, Matrix multiplication via arithmetic progressions, Journal of Symbolic Computation 9 (3), pp. 251-280, 1990.
-
(1990)
Journal of Symbolic Computation
, vol.9
, Issue.3
, pp. 251-280
-
-
Coppersmith, D.1
Winograd, S.2
-
31
-
-
34250487811
-
Gaussian elimination is not optimal
-
V. Strassen, Gaussian Elimination is not Optimal, Numerische Mathematik 13, pp. 354-356, 1969.
-
(1969)
Numerische Mathematik
, vol.13
, pp. 354-356
-
-
Strassen, V.1
-
32
-
-
72849147143
-
From local patterns to global models: The LeGo approach to data mining
-
A. J. Knobbe, B. Crémilleux, J. Fürnkranz, M. Scholz, From Local Patterns to Global Models: The LeGo Approach to Data Mining, Proc. ECML/PKDD 2008 LeGo workshop, pp. 1-16.
-
Proc. ECML/PKDD 2008 LeGo Workshop
, pp. 1-16
-
-
Knobbe, A.J.1
Crémilleux, B.2
Fürnkranz, J.3
Scholz, M.4
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