-
1
-
-
17444413786
-
An effective and efficient algorithm for high-dimensional outlier detection
-
C. Aggarwal and S. Yu. An effective and efficient algorithm for high-dimensional outlier detection. The VLDB Journal, 14:211-221, 2005.
-
(2005)
The VLDB Journal
, vol.14
, pp. 211-221
-
-
Aggarwal, C.1
Yu, S.2
-
4
-
-
0039253819
-
LOF: Identifying density-based local outliers
-
M. M. Breunig, H. P. Kriegel, R. T. Ng, and J. Sander. LOF: Identifying density-based local outliers. ACM SIGMOD Record, 29(2):93-104, 2000.
-
(2000)
ACM SIGMOD Record
, vol.29
, Issue.2
, pp. 93-104
-
-
Breunig, M.M.1
Kriegel, H.P.2
Ng, R.T.3
Sander, J.4
-
6
-
-
58049141286
-
FAST: A ROC-based feature selection metric for small samples and imbalanced data classification problems
-
X.-W. Chen and M. Wasikowski. FAST: A ROC-based feature selection metric for small samples and imbalanced data classification problems. In KDD, pages 124-132, 2008.
-
(2008)
KDD
, pp. 124-132
-
-
Chen, X.-W.1
Wasikowski, M.2
-
7
-
-
0013326060
-
Feature selection for classification
-
M. Dash and H. Liu. Feature selection for classification. Intelligent Data Analysis, 1: 131-156, 1997.
-
(1997)
Intelligent Data Analysis
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
-
9
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
J. H. Friedman, T. Hastie, and R. Tibshirani. Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1):1-22, 2010.
-
(2010)
Journal of Statistical Software
, vol.33
, Issue.1
, pp. 1-22
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
10
-
-
4544371135
-
Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces
-
K. Fukumizu, F. R. Bach, and M. I. Jordan. Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces. JMLR, 5:73-99, 2004.
-
(2004)
JMLR
, vol.5
, pp. 73-99
-
-
Fukumizu, K.1
Bach, F.R.2
Jordan, M.I.3
-
11
-
-
51849092674
-
Fast k nearest neighbor search using gpu
-
Anchorage, Alaska, USA, June
-
V. Garcia, E. Debreuve, and M. Barlaud. Fast k nearest neighbor search using gpu. In CVPR Workshop on Computer Vision on GPU, Anchorage, Alaska, USA, June 2008.
-
(2008)
CVPR Workshop on Computer Vision on GPU
-
-
Garcia, V.1
Debreuve, E.2
Barlaud, M.3
-
12
-
-
0031333560
-
A supervised machine learning algorithm for arrhythmia analysis
-
H. A. Güvenir, B. Acar, G. Demiröz, and A. Çekin. A supervised machine learning algorithm for arrhythmia analysis. In Computers in Cardiology Conference, pages 433-436, 1998.
-
(1998)
Computers in Cardiology Conference
, pp. 433-436
-
-
Güvenir, H.A.1
Acar, B.2
Demiröz, G.3
Çekin, A.4
-
14
-
-
76749092270
-
The WEKA data mining software: An update
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The WEKA data mining software: an update. SIGKDD Explorations Newsletter, 11:10-18, 2009.
-
(2009)
SIGKDD Explorations Newsletter
, vol.11
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
16
-
-
78651496720
-
Statistical outlier detection using direct density ratio estimation
-
S. Hido, Y. Tsuboi, H. Kashima, M. Sugiyama, and T. Kanamori. Statistical outlier detection using direct density ratio estimation. Knowledge and Information Systems, 26(2): 309-336, 2011.
-
(2011)
Knowledge and Information Systems
, vol.26
, Issue.2
, pp. 309-336
-
-
Hido, S.1
Tsuboi, Y.2
Kashima, H.3
Sugiyama, M.4
Kanamori, T.5
-
17
-
-
0004151494
-
-
Cambridge University Press, Cambridge; New York
-
R. A. Horn and C. R. Johnson. Matrix Analysis. Cambridge University Press, Cambridge; New York, 1985.
-
(1985)
Matrix Analysis
-
-
Horn, R.A.1
Johnson, C.R.2
-
19
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G. H. John. Wrappers for feature subset selection. Artificial Intelligence, 97 (1-2):273-324, 1997.
-
(1997)
Artificial Intelligence
, vol.97
, Issue.1-2
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
21
-
-
85096855936
-
One-class svms for document classification
-
L. M. Manevitz, M. Yousef, N. Cristianini, J. Shawe-Taylor, and B. Williamson. One-class svms for document classification. Journal of Machine Learning Research, 2:139-154, 2001.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 139-154
-
-
Manevitz, L.M.1
Yousef, M.2
Cristianini, N.3
Shawe-Taylor, J.4
Williamson, B.5
-
22
-
-
77956531771
-
From transformation-based dimensionality reduction to feature selection
-
M. Masaeli, G. Fung, and J. G. Dy. From transformation-based dimensionality reduction to feature selection. In ICML '10, pages 751-758, 2010.
-
(2010)
ICML '10
, pp. 751-758
-
-
Masaeli, M.1
Fung, G.2
Dy, J.G.3
-
23
-
-
84874061233
-
Feature extraction for outlier detection in high dimensional spaces
-
H. V. Nguyen and V. Gopalkrishnan. Feature extraction for outlier detection in high dimensional spaces. Journal of Machine Learning Research, 10:66-75, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.10
, pp. 66-75
-
-
Nguyen, H.V.1
Gopalkrishnan, V.2
-
24
-
-
0001473437
-
On estimation of a probability density function and mode
-
E. Parzen. On Estimation of a Probability Density Function and Mode. The Annals of Mathematical Statistics, 33(3):1065-1076, 1962.
-
(1962)
The Annals of Mathematical Statistics
, vol.33
, Issue.3
, pp. 1065-1076
-
-
Parzen, E.1
-
25
-
-
0001529784
-
Remarks on some nonparametric estimates of a density function
-
M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function. The Annals of Mathematical Statistics, 27(3):832-837, 1956.
-
(1956)
The Annals of Mathematical Statistics
, vol.27
, Issue.3
, pp. 832-837
-
-
Rosenblatt, M.1
-
26
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Schölkopf, A. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.2
Müller, K.-R.3
-
28
-
-
34547830852
-
Gene selection via the BAHSIC family of algorithms
-
L. Song, J. Bedo, K. M. Borgwardt, A. Gretton, and A. Smola. Gene selection via the BAHSIC family of algorithms. Bioinformatics, 23:490-498, 2007.
-
(2007)
Bioinformatics
, vol.23
, pp. 490-498
-
-
Song, L.1
Bedo, J.2
Borgwardt, K.M.3
Gretton, A.4
Smola, A.5
-
29
-
-
79251612332
-
Direct density-ratio estimation with dimensionality reduction via least-squares heterodistributional subspace search
-
M. Sugiyama, M. Yamada, P. von Bunau, T. Suzuki, T. Kanamori, and M. Kawanabe. Direct density-ratio estimation with dimensionality reduction via least-squares heterodistributional subspace search. Neural Networks, 24(2):183-198, 2011.
-
(2011)
Neural Networks
, vol.24
, Issue.2
, pp. 183-198
-
-
Sugiyama, M.1
Yamada, M.2
Von Bünau, P.3
Suzuki, T.4
Kanamori, T.5
Kawanabe, M.6
-
30
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Series B
-
R. Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, Series B, 58:267-288, 1994.
-
(1994)
Journal of the Royal Statistical Society
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
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