-
1
-
-
0000459353
-
The lack of a priori distinctions between learning algorithms
-
D.H. Wolpert, The lack of a priori distinctions between learning algorithms. Neural Comput 8(7), 1341–1390 (1996)
-
(1996)
Neural Comput
, vol.8
, Issue.7
, pp. 1341-1390
-
-
Wolpert, D.H.1
-
2
-
-
0037545145
-
No free lunch for cross validation
-
H Zhu. No free lunch for cross validation. Neural Comput. 8(7), 1421–1426 (1996)
-
(1996)
Neural Comput
, vol.8
, Issue.7
, pp. 1421-1426
-
-
Zhu, H.1
-
4
-
-
0002099561
-
Supervised learning of probability distributions by neural networks
-
E. Baum, F. Wilczek. Supervised learning of probability distributions by neural networks. Neural Inf. Proces. Syst. 1 52–61 (1988)
-
(1988)
Neural Inf. Proces. Syst
, vol.1
, pp. 52-61
-
-
Baum, E.1
Wilczek, F.2
-
6
-
-
85066659947
-
-
Documentation-Neural Network Toolbox. Mathworks. [Online] [Cited: January 13, 2010.] http://www.mathworks.com/access/helpdesk/help/toolbox/nnet/neuron_2.html#33674
-
-
-
-
7
-
-
77949586509
-
Computable and incomputable functions and search algorithms
-
J. Woodward, Computable and incomputable functions and search algorithms. Intell. Comput. Intell. Syst. 1, 871–875 (2009)
-
(2009)
Intell. Comput. Intell. Syst
, vol.1
, pp. 871-875
-
-
Woodward, J.1
-
8
-
-
0001471775
-
Unsupervised learning
-
H.B. Barlow, Unsupervised learning. Neural Comput 1(3), 295–311 (1989)
-
(1989)
Neural Comput
, vol.1
, Issue.3
, pp. 295-311
-
-
Barlow, H.B.1
-
10
-
-
85066714121
-
-
Networking and Mobile Computing, Oct
-
Z. Li, J. Yuan, H. Yang, K. Khang. K-mean Algorithm with a distance based on characteristics of differences, in 4th International Conference on Wireless Communications, Networking and Mobile Computing, Oct 2008, pp. 1–4
-
(2008)
K-Mean Algorithm with a Distance Based on Characteristics of Differences, in 4Th International Conference on Wireless Communications
, pp. 1-4
-
-
Li, Z.1
Yuan, J.2
Yang, H.3
Khang, K.4
-
14
-
-
39549119321
-
Distance learning for similarity estimation
-
J. Yu, J. Amores, N. Sebe, P. Radeva, Q. Tian, Distance learning for similarity estimation. IEEE Trans. Pattern Anal. Mach. Intell. 30(3), 451–462 (2008)
-
(2008)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.30
, Issue.3
, pp. 451-462
-
-
Yu, J.1
Amores, J.2
Sebe, N.3
Radeva, P.4
Tian, Q.5
-
15
-
-
0036709369
-
Locally adaptive metric nearest neighbor classification
-
C. Domeniconi, J. Peng, D. Gunopulos, Locally adaptive metric nearest neighbor classification. IEEE Trans. Pattern. Anal. Mach. Intell. 24(9), 1281–1285 (2002)
-
(2002)
IEEE Trans. Pattern. Anal. Mach. Intell
, vol.24
, Issue.9
, pp. 1281-1285
-
-
Domeniconi, C.1
Peng, J.2
Gunopulos, D.3
-
16
-
-
84879571292
-
-
E. Xing, A. Ng, M. Jordan, S. Russell. Distance metric learning, with application to clustering with side-information. in Proceedings of Neural Information Processing Systems, 2003, pp. 505–512
-
(2003)
Distance Metric Learning, with Application to Clustering with Side-Information. In Proceedings of Neural Information Processing Systems
, pp. 505-512
-
-
Xing, E.1
Ng, A.2
Jordan, M.3
Russell, S.4
-
17
-
-
85066673227
-
-
Cluster analysis. Wikipedia. [Online]
-
J. Mac Queen. Cluster analysis. Wikipedia. [Online] http://en.wikipedia.org/wiki/Cluster_analysis#cite_note-0
-
-
-
Mac Queen, J.1
-
19
-
-
0032729435
-
Exploring expression data: Identification and analysis of coexpressed genes
-
L. Heyer et al. Exploring expression data: identification and analysis of coexpressed genes. Genome Res. 9, 1106–1115 (1999)
-
(1999)
Genome Res
, vol.9
, pp. 1106-1115
-
-
Heyer, L.1
-
21
-
-
85170282443
-
-
Ed. by E. Simoudis, J. Han, U.M. Fayyad. AAAI Press, ISBN 1-57735-004-9
-
M. Ester, H.-P. Kriegel, J. Sander, X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Ed. by E. Simoudis, J. Han, U.M. Fayyad. AAAI Press, pp. 226–231. ISBN 1-57735-004-9
-
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96)
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.4
-
22
-
-
85066657392
-
-
Pervasive and Mobile Computing [Online] http://www.sciencedirect.com/science/article/pii/S1574119209000686
-
-
-
-
25
-
-
85066692177
-
-
KDD Cup 1999 Data [Online] http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
-
-
-
-
30
-
-
85066660418
-
-
The Current State of Cyber Security is Fundamentally Flawed [Online] http://www.aione.com/2011/10/18/the-current-state-of-cyber-security-is-fundamentally-flawed/
-
-
-
-
31
-
-
85066717421
-
-
Machines Can Learn the Inherent Complexity of Data [Online] http://www.ai-one.com/2011/10/17/machines-can-learn-the-inherent-complexity-of-data/
-
-
-
-
33
-
-
85066689750
-
M. Govindarajan. Bagged genetic algorithm for network intrusion detection
-
R.M. Chandrasekaran, M. Govindarajan. Bagged genetic algorithm for network intrusion detection. Int. J. Res. Rev. Inf. Secur. Priv. 1(2), 33 (2011)
-
(2011)
Int. J. Res. Rev. Inf. Secur. Priv
, vol.1
, Issue.2
, pp. 33
-
-
Chandrasekaran, R.M.1
-
34
-
-
84866865710
-
Implementing rule based genetic algorithm as a solution for intrusion detection system
-
S. Akbar, K. Nageswara Rao, J.A. Chandulal. Implementing rule based genetic algorithm as a solution for intrusion detection system. Int. J. Comput. Sci. Netw. Secur. 11(8), 138 (2011)
-
(2011)
Int. J. Comput. Sci. Netw. Secur
, vol.11
, Issue.8
, pp. 138
-
-
Akbar, S.1
Nageswara Rao, K.2
Chandulal, J.A.3
-
37
-
-
84927663836
-
GHIDS: A hybrid honeypot system using genetic algorithm
-
A.C. Divya. GHIDS: A hybrid honeypot system using genetic algorithm. Int. J. Comput. Technol. Appl. 3, 187 (2012)
-
(2012)
Int. J. Comput. Technol. Appl
, vol.3
, pp. 187
-
-
Divya, A.C.1
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