-
1
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Be. E. Boser, I. Guyon, and V. Vapnik, "A training algorithm for optimal margin classifiers," Computational Learing Theory, pp. 144-152, 1992.
-
(1992)
Computational Learing Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.2
Vapnik, V.3
-
3
-
-
7544240929
-
Defining event reconstruction of a digital crime scene
-
B. D. Carrier and E. H. Spfford, "Defining event reconstruction of a digital crime scene," Journal of Forensic Sciences, vol. 49, no. 6, pp. 1291-1298, 2004.
-
(2004)
Journal of Forensic Sciences
, vol.49
, Issue.6
, pp. 1291-1298
-
-
Carrier, B.D.1
Spfford, E.H.2
-
7
-
-
0036959150
-
Optimised support vector machines for nonstationary signal classification
-
M. Davy, A. Gretton, A. Doucet, and P. J.W. Rayne, "Optimised support vector machines for nonstationary signal classification," IEEE Signal Processing Letters, vol. 9, pp. 442-445, 2002.
-
(2002)
IEEE Signal Processing Letters
, vol.9
, pp. 442-445
-
-
Davy, M.1
Gretton, A.2
Doucet, A.3
Rayne, P.J.W.4
-
8
-
-
0141744658
-
Support vector-based online detection of abrupt changes
-
F. Desobry and M. Davy, "Support vector-based online detection of abrupt changes," in Proceedings of ICASSP, vol. 4, pp. 872-875, 2003.
-
(2003)
Proceedings of ICASSP
, vol.4
, pp. 872-875
-
-
Desobry, F.1
Davy, M.2
-
10
-
-
1542492748
-
Identifying significant features for network forensic analysis using artificial intelligent techniques
-
S. Mukkamala and A. H. Sung, "Identifying significant features for network forensic analysis using artificial intelligent techniques," International Journal of Digital Evidence, vol. 1, no. 4, pp. 1-17, 2003.
-
(2003)
International Journal of Digital Evidence
, vol.1
, Issue.4
, pp. 1-17
-
-
Mukkamala, S.1
Sung, A.H.2
-
11
-
-
0035283313
-
Robust classification for imprecise environments
-
F. Provost and T. Fawcett, "Robust classification for imprecise environments," Machine Learning, vol. 42, pp. 203-231, 2001.
-
(2001)
Machine Learning
, vol.42
, pp. 203-231
-
-
Provost, F.1
Fawcett, T.2
-
12
-
-
0000487102
-
Estimating the support of a high-dimensional distribution
-
B. Scḧolkopf, J. C. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson, "Estimating the support of a high-dimensional distribution," Neural Computation, vol. 13, no. 7, pp. 1443-1471, 2001.
-
(2001)
Neural Computation
, vol.13
, Issue.7
, pp. 1443-1471
-
-
Scḧolkopf, B.1
Platt, J.C.2
Shawe-Taylor, J.3
Smola, A.J.4
Williamson, R.C.5
-
13
-
-
0003408420
-
-
MIT Press, Cambridge, MA
-
B. Scḧolkopf and A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond MIT Press, Cambridge, MA, 2002.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
-
Scḧolkopf, B.1
Smola, A.J.2
-
14
-
-
84962238645
-
Cost-based modeling and evaluation for data mining with application to fraud and intrusion detection: Results from the JAM projec
-
S. J. Stolfo, W. Fan, andW. Lee, "Cost-based modeling and evaluation for data mining with application to fraud and intrusion detection: Results from the JAM projec", in DARPA Information Survivability Conference, pp. 130-144, 2000.
-
(2000)
DARPA Information Survivability Conference
, pp. 130-144
-
-
Stolfo, S.J.1
Fan, W.2
Lee, W.3
-
15
-
-
0001899045
-
Improved heterogeneous distance functions
-
D. R. Wilson, and T. R. Martinez, "Improved heterogeneous distance functions," Journal of Artificial Intelligence Research, no. 6, pp. 1-34, 1997.
-
(1997)
Journal of Artificial Intelligence Research, no
, vol.6
, pp. 1-34
-
-
Wilson, D.R.1
Martinez, T.R.2
|