-
1
-
-
0002110602
-
MUNIN-an expert EMG assistant
-
Desmedt, J.E. (ed.), ch. 21. Elsevier Science Publishers, Amsterdam
-
Andreassen, S., Jensen, F. V., Andersen, S. K., Falck, B., Kjarulff, U., Woldbye, M., Sorensen, A. R., Rosenfalck, A., Jensen, F.: MUNIN-an expert EMG assistant. In: Desmedt, J. E. (ed.) Computer-Aided Electromyography and Expert Systems, ch. 21. Elsevier Science Publishers, Amsterdam (1989).
-
(1989)
Computer-Aided Electromyography and Expert Systems
-
-
Andreassen, S.1
Jensen, F.V.2
Andersen, S.K.3
Falck, B.4
Kjarulff, U.5
Woldbye, M.6
Sorensen, A.R.7
Rosenfalck, A.8
Jensen, F.9
-
2
-
-
84866621641
-
Accelerating Bayesian network parameter learning using Hadoop and MapReduce
-
Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
-
Basak, A., Brinster, I., Ma, X., Mengshoel, O. J.: Accelerating Bayesian network parameter learning using Hadoop and MapReduce. In: Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, pp. 101-108 (2012).
-
(2012)
Proceedings of the 1st International Workshop on Big Data
, pp. 101-108
-
-
Basak, A.1
Brinster, I.2
Ma, X.3
Mengshoel, O.J.4
-
3
-
-
84933530882
-
Approximating discrete probability distributions with dependence trees
-
Chow, C. K., Liu, C. N.: Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, IT 14(3), 462-467 (1968).
-
(1968)
IEEE Transactions on Information Theory, IT
, vol.14
, Issue.3
, pp. 462-467
-
-
Chow, C.K.1
Liu, C.N.2
-
4
-
-
56049109090
-
Map-reduce for machine learning on multicore
-
Chu, C.-T., Kim, S. K., Lin, Y.-A., Yu, Y., Bradski, G., Ng, A. Y., Olukotun, K.: Map-reduce for machine learning on multicore. In: NIPS, pp. 281-288 (2006).
-
(2006)
NIPS
, pp. 281-288
-
-
Chu, C.-T.1
Kim, S.K.2
Lin, Y.-A.3
Yu, Y.4
Bradski, G.5
Ng, A.Y.6
Olukotun, K.7
-
5
-
-
0003687180
-
-
Springer
-
Cowell, R. G., Dawid, A. P., Lauritzen, S. L., Spiegelhalter, D. J.: Probabilistic Networks and Expert Systems. Springer (1999).
-
(1999)
Probabilistic Networks and Expert Systems
-
-
Cowell, R.G.1
Dawid, A.P.2
Lauritzen, S.L.3
Spiegelhalter, D.J.4
-
6
-
-
84909743918
-
A list of (v, b, r, k, λ) designs for r ≤ 30
-
Graph Theory and Computing
-
Di Paola, J. W., Wallis, J. S., Wallis, W. D.: A list of (v, b, r, k, λ) designs for r ≤ 30. In: Proc. 4th S-E Cont. Combinatorics, Graph Theory and Computing, pp. 249-258 (1973).
-
(1973)
Proc. 4th S-E Cont. Combinatorics
, pp. 249-258
-
-
Di Paola, J.W.1
Wallis, J.S.2
Wallis, W.D.3
-
7
-
-
0031269184
-
On the optimality of the simple Bayesian classifier under zero-one loss
-
Domingos, P., Pazzani, M.: On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 103-130 (1997).
-
(1997)
Machine Learning
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
8
-
-
84875824725
-
MapReduce-Based Method for Learning Bayesian Network from Massive Data
-
Ishikawa, Y., Li, J., Wang, W., Zhang, R., Zhang, W. (eds.),. Springer, Heidelberg
-
Fang, Q., Yue, K., Fu, X., Wu, H., Liu, W.: MapReduce-Based Method for Learning Bayesian Network from Massive Data. In: Ishikawa, Y., Li, J., Wang, W., Zhang, R., Zhang, W. (eds.) APWeb 2013. LNCS, vol. 7808, pp. 697-708. Springer, Heidelberg (2013).
-
(2013)
APWeb 2013. LNCS
, vol.7808
, pp. 697-708
-
-
Fang, Q.1
Yue, K.2
Fu, X.3
Wu, H.4
Liu, W.5
-
9
-
-
0010851239
-
An examination of the different possible solutions of a problem in incomplete blocks
-
Fisher, R. A.: An examination of the different possible solutions of a problem in incomplete blocks. Annals of Eugenics, 52-75 (1940).
-
(1940)
Annals of Eugenics
, pp. 52-75
-
-
Fisher, R.A.1
-
11
-
-
0031276011
-
Bayesian network classifiers
-
Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian network classifiers. Machine Learning, 1-37 (1997).
-
(1997)
Machine Learning
, pp. 1-37
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
13
-
-
1642406584
-
The Prime Power Conjecture is True for n < 2000000
-
Gordon, D. M.: The Prime Power Conjecture is True for n < 2000000. Electronic J. Combinatorics 1(1, R6), 1-7 (1994).
-
(1994)
Electronic J. Combinatorics
, vol.1
, Issue.1 R6
, pp. 1-7
-
-
Gordon, D.M.1
-
17
-
-
33744514884
-
HUGIN-The Tool for Bayesian Networks and Influence Diagrams
-
Madsen, A. L., Jensen, F., Kjarulff, U. B., Lang, M.: HUGIN-The Tool for Bayesian Networks and Influence Diagrams. International Journal on Artificial Intelligence Tools 14(3), 507-543 (2005).
-
(2005)
International Journal on Artificial Intelligence Tools
, vol.14
, Issue.3
, pp. 507-543
-
-
Madsen, A.L.1
Jensen, F.2
Kjarulff, U.B.3
Lang, M.4
-
18
-
-
8344240433
-
The Hugin Tool for Learning Bayesian Networks
-
Nielsen, T.D., Zhang, N.L. (eds.),. Springer, Heidelberg
-
Madsen, A. L., Lang, M., Kjarulff, U. B., Jensen, F.: The Hugin Tool for Learning Bayesian Networks. In: Nielsen, T. D., Zhang, N. L. (eds.) ECSQARU 2003. LNCS (LNAI), vol. 2711, pp. 594-605. Springer, Heidelberg (2003).
-
(2003)
ECSQARU 2003. LNCS (LNAI)
, vol.2711
, pp. 594-605
-
-
Madsen, A.L.1
Lang, M.2
Kjarulff, U.B.3
Jensen, F.4
-
20
-
-
3843106208
-
An empirical study of the naive Bayes classifier
-
Rish, I.: An empirical study of the naive Bayes classifier. In: IJCAI Workshop on Empirical Methods in AI, pp. 41-46 (2001).
-
(2001)
IJCAI Workshop on Empirical Methods in AI
, pp. 41-46
-
-
Rish, I.1
-
21
-
-
77955124773
-
Learning Bayesian Networks with the bnlearn R Package
-
Scutari, M.: Learning Bayesian Networks with the bnlearn R Package. Journal of Statistical Software 35(3), 1-22 (2010).
-
(2010)
Journal of Statistical Software
, vol.35
, Issue.3
, pp. 1-22
-
-
Scutari, M.1
-
22
-
-
2442577254
-
-
MIT Press
-
Spirtes, P., Glymour, C., Scheines, R.: Causation, Prediction, and Search, Adaptive Computation and Machine Learning, 2nd edn. MIT Press (2000).
-
(2000)
Causation, Prediction, and Search, Adaptive Computation and Machine Learning, 2nd edn
-
-
Spirtes, P.1
Glymour, C.2
Scheines, R.3
-
24
-
-
21844479166
-
Hierarchical latent class models for cluster analysis
-
Zhang, N. L.: Hierarchical latent class models for cluster analysis. Journal of Machine Learning Research 5, 697-723 (2004).
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 697-723
-
-
Zhang, N.L.1
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