-
1
-
-
33749539634
-
Outlier detection by active learning
-
August 20-23 2006, Philadelphia, USA
-
Abe N, Zadrozny B, Langford J (2006) Outlier detection by active learning. In: 12th ACM SIGKDD international conference on knowledge discovery and data mining, August 20-23 2006, Philadelphia, USA
-
(2006)
12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
-
Abe, N.1
Zadrozny, B.2
Langford, J.3
-
3
-
-
33750696656
-
An evaluation of the usefulness of explanation in a case-based reasoning system for decision support in Bronchiolitis treatment
-
3-4
-
D Doyle P Cunningham P Walsh 2006 An evaluation of the usefulness of explanation in a case-based reasoning system for decision support in Bronchiolitis treatment Comput Intell 22 3-4 269 281
-
(2006)
Comput Intell
, vol.22
, pp. 269-281
-
-
Doyle, D.1
Cunningham, P.2
Walsh, P.3
-
5
-
-
77954790951
-
Using artificial anomalies to detect unknown and known network intrusions
-
5
-
W Fan M Miller S Stolfo W Lee P Chan 2004 Using artificial anomalies to detect unknown and known network intrusions Knowl Inf Syst 6 5 507 527
-
(2004)
Knowl Inf Syst
, vol.6
, pp. 507-527
-
-
Fan, W.1
Miller, M.2
Stolfo, S.3
Lee, W.4
Chan, P.5
-
6
-
-
32544456449
-
About the locality of kernels in high-dimensional spaces
-
May 17-20 2005, Brest, France
-
François D, Wertz V, Verleysen M (2005) About the locality of kernels in high-dimensional spaces. In: ASMDA, international symposium on applied stochastic models and data analysis, May 17-20 2005, Brest, France
-
(2005)
ASMDA, International Symposium on Applied Stochastic Models and Data Analysis
-
-
François, D.1
Wertz, V.2
Verleysen, M.3
-
7
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
5439
-
T Golub D Slonim P Tamayo C Huard M Gaasenbeek J Mesirov H Coller M Loh J Downing M Caligiuri C Bloomfield E Lander 1999 Molecular classification of cancer: class discovery and class prediction by gene expression monitoring Science 286 5439 531 537
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.1
Slonim, D.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.6
Coller, H.7
Loh, M.8
Downing, J.9
Caligiuri, M.10
Bloomfield, C.11
Lander, E.12
-
12
-
-
84864039505
-
Laplacian score for feature selection
-
December 8-10 2005, Vancouver, Canada
-
He X, Cai D, Niyogi P (2005) Laplacian score for feature selection. In: NIPS: advances in neural information processing systems, December 8-10 2005, Vancouver, Canada
-
(2005)
NIPS: Advances in Neural Information Processing Systems
-
-
He, X.1
Cai, D.2
Niyogi, P.3
-
13
-
-
7544223741
-
A survey of outlier detection methodologies
-
2
-
V Hodge J Austin 2004 A survey of outlier detection methodologies Artif Intell Rev V22 2 85 126
-
(2004)
Artif Intell Rev
, vol.22
, pp. 85-126
-
-
Hodge, V.1
Austin, J.2
-
14
-
-
0027580356
-
Very simple classification rules perform well on most commonly used datasets
-
1
-
RC Holte 1993 Very simple classification rules perform well on most commonly used datasets Mach Learn 11 1 63 90
-
(1993)
Mach Learn
, vol.11
, pp. 63-90
-
-
Holte, R.C.1
-
17
-
-
57649231377
-
Volume-based model selection for one-class classifiers that consist of a set of spheres
-
November 13-16 2007, Kitakyushu, Japan
-
Juszczak P (2007) Volume-based model selection for one-class classifiers that consist of a set of spheres. In: ICONIP: international conference on neural information processing, November 13-16 2007, Kitakyushu, Japan
-
(2007)
ICONIP: International Conference on Neural Information Processing
-
-
Juszczak, P.1
-
19
-
-
4444353672
-
Data mining tools for biological sequences
-
1
-
H Liu L Wong 2003 Data mining tools for biological sequences J Bioinf Comput Biol 1 1 139 167
-
(2003)
J Bioinf Comput Biol
, vol.1
, pp. 139-167
-
-
Liu, H.1
Wong, L.2
-
20
-
-
85096855936
-
One-class SVMs for document classification
-
LM Manevitz M Yousef 2001 One-class SVMs for document classification J Mach Learn Res 2 139 154
-
(2001)
J Mach Learn Res
, vol.2
, pp. 139-154
-
-
Manevitz, L.M.1
Yousef, M.2
-
21
-
-
0142063407
-
Novelty detection: A review-part 1: Statistical approaches
-
12
-
M Markou S Singh 2003 Novelty detection: a review-part 1: statistical approaches Signal Process 83 12 2481 2497
-
(2003)
Signal Process
, vol.83
, pp. 2481-2497
-
-
Markou, M.1
Singh, S.2
-
22
-
-
0142126712
-
Novelty detection: A review-part 2: Neural network based approaches
-
12
-
M Markou S Singh 2003 Novelty detection: a review-part 2: neural network based approaches Signal Process 83 12 2499 2521
-
(2003)
Signal Process
, vol.83
, pp. 2499-2521
-
-
Markou, M.1
Singh, S.2
-
23
-
-
8844281752
-
Novelty detection in learning systems
-
S Marsland 2003 Novelty detection in learning systems Neural Comput Surv 3 157 195
-
(2003)
Neural Comput Surv
, vol.3
, pp. 157-195
-
-
Marsland, S.1
-
24
-
-
0041875229
-
On spectral clustering: Analysis and an algorithm
-
December 3-6 2001, Vancouver, Canada
-
Ng AY, Jordan MI, Weiss Y (2001) On spectral clustering: analysis and an algorithm. In: NIPS: advances in neural information processing systems, December 3-6 2001, Vancouver, Canada
-
(2001)
NIPS: Advances in Neural Information Processing Systems
-
-
Ng, A.Y.1
Jordan, M.I.2
Weiss, Y.3
-
25
-
-
33846910249
-
Language models for detection of unknown attacks in network traffic
-
4
-
K Rieck P Laskov 2007 Language models for detection of unknown attacks in network traffic J Comput Virol 2 4 243 256
-
(2007)
J Comput Virol
, vol.2
, pp. 243-256
-
-
Rieck, K.1
Laskov, P.2
-
26
-
-
0036193674
-
Classification of narcotics in solid mixtures using principal component analysis and raman spectroscopy
-
2
-
AG Ryder 2002 Classification of narcotics in solid mixtures using principal component analysis and raman spectroscopy J Forensic Sci 47 2 275 284
-
(2002)
J Forensic Sci
, vol.47
, pp. 275-284
-
-
Ryder, A.G.1
-
27
-
-
33750733400
-
Spectral methods for dimensionality reduction
-
Schölkopf B, Chapelle O, Zien A (eds) The MIT Press, Chap. 16
-
Saul LK, Weinberger KQ, Ham JH, Sha F, Lee DD (2006) Spectral methods for dimensionality reduction. In: Schölkopf B, Chapelle O, Zien A (eds) Semisupervised learning. The MIT Press, Chap. 16
-
(2006)
Semisupervised Learning
-
-
Saul, L.K.1
Weinberger, K.Q.2
Ham, J.H.3
Sha, F.4
Lee, D.D.5
-
30
-
-
21844462364
-
A classification framework for anomaly detection
-
I Steinwart D Hush C Scovel 2005 A classification framework for anomaly detection J Mach Learn Res 6 211 232
-
(2005)
J Mach Learn Res
, vol.6
, pp. 211-232
-
-
Steinwart, I.1
Hush, D.2
Scovel, C.3
-
33
-
-
0013372968
-
Uniform object generation for optimizing one-class classifiers
-
DMJ Tax RPW Duin 2002 Uniform object generation for optimizing one-class classifiers J Mach Learn Res 2 155 173
-
(2002)
J Mach Learn Res
, vol.2
, pp. 155-173
-
-
Tax, D.M.J.1
Duin, R.P.W.2
-
36
-
-
10044248411
-
A consistency-based model selection for one-class classification
-
August 23-26 2004, Cambridge, England
-
Tax DMJ, Muller KR (2004) A consistency-based model selection for one-class classification. In: ICPR: international conference of pattern recognition, August 23-26 2004, Cambridge, England
-
(2004)
ICPR: International Conference of Pattern Recognition
-
-
Tax, D.M.J.1
Muller, K.R.2
-
38
-
-
27844550205
-
Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach
-
L Wolf A Shashua 2005 Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach J Mach Learn Res 6 1855 1887
-
(2005)
J Mach Learn Res
, vol.6
, pp. 1855-1887
-
-
Wolf, L.1
Shashua, A.2
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