-
1
-
-
31844442669
-
A martingale framework for concept change detection in time-varying data streams
-
L.D. Raedt and S. Wrobel, eds.
-
S.-S. Ho, "A Martingale Framework for Concept Change Detection in Time-Varying Data Streams," Proc. 22nd Int'l Conf. Machine Learning, L.D. Raedt and S. Wrobel, eds., pp. 321-327, 2005.
-
(2005)
Proc. 22nd Int'l Conf. Machine Learning
, pp. 321-327
-
-
Ho, S.-S.1
-
2
-
-
77958550972
-
Detecting changes in unlabeled data streams using martingale
-
M. Veloso, ed.
-
S.-S. Ho and H. Wechsler, "Detecting Changes in Unlabeled Data Streams Using Martingale," Proc. 20th Int'l Joint Conf. Artificial Intelligence, M. Veloso, ed., pp. 1912-1917, 2007.
-
(2007)
Proc. 20th Int'l Joint Conf. Artificial Intelligence
, pp. 1912-1917
-
-
Ho, S.-S.1
Wechsler, H.2
-
4
-
-
0345349896
-
The application of statistics as an aid in maintaining quality of a manufactured products
-
W.A. Shewhart, "The Application of Statistics as an Aid in Maintaining Quality of a Manufactured Products," J. Am. Statistician Assoc., vol. 20, pp. 546-548, 1925.
-
(1925)
J. Am. Statistician Assoc.
, vol.20
, pp. 546-548
-
-
Shewhart, W.A.1
-
5
-
-
0004094381
-
Economic control of quality of manufactured product
-
W.A. Shewhart, Economic Control of Quality of Manufactured Product. Am. Soc. for Quality Control, 1931.
-
(1931)
Am. Soc. for Quality Control
-
-
Shewhart, W.A.1
-
7
-
-
0012316965
-
On problem in which a change in a parameter occurs at an unknown point
-
E.S. Page, "On Problem in Which a Change in a Parameter Occurs at an Unknown Point," Biometrika, vol. 44, pp. 248-252, 1957.
-
(1957)
Biometrika
, vol.44
, pp. 248-252
-
-
Page, E.S.1
-
8
-
-
0001736564
-
A bayes approach to a quality control model
-
M.A. Girshik and H. Rubin, "A Bayes Approach to a Quality Control Model," Annal of Math. Statistics, vol. 23, no. 1, pp. 114-125, 1952.
-
(1952)
Annal of Math. Statistics
, vol.23
, Issue.1
, pp. 114-125
-
-
Girshik, M.A.1
Rubin, H.2
-
9
-
-
0002196122
-
On optimum methods in quickest detection problems
-
A.N. Shiryaev, "On Optimum Methods in Quickest Detection Problems," Theory of Probability and Applications, vol. 8, pp. 22-46, 1963.
-
(1963)
Theory of Probability and Applications
, vol.8
, pp. 22-46
-
-
Shiryaev, A.N.1
-
11
-
-
7444250934
-
Fast and light boosting for adaptive mining of data streams
-
H. Dai, R. Srikant, and C. Zhang, eds.
-
F. Chu and C. Zaniolo, "Fast and Light Boosting for Adaptive Mining of Data Streams," Proc. Pacific-Asia Conf. Knowledge Discovery and Data Mining, H. Dai, R. Srikant, and C. Zhang, eds., pp. 282-292, 2004.
-
(2004)
Proc. Pacific-Asia Conf. Knowledge Discovery and Data Mining
, pp. 282-292
-
-
Chu, F.1
Zaniolo, C.2
-
12
-
-
0141804082
-
Detecting concept drift with support vector machines
-
P. Langley, ed.
-
R. Klinkenberg and T. Joachims, "Detecting Concept Drift with Support Vector Machines," Proc. 17th Int'l Conf. Machine Learning, P. Langley, ed., pp. 487-494, 2000.
-
(2000)
Proc. 17th Int'l Conf. Machine Learning
, pp. 487-494
-
-
Klinkenberg, R.1
Joachims, T.2
-
13
-
-
0030126609
-
Learning in the presence of concept drift and hidden contexts
-
G. Widmer and M. Kubat, "Learning in the Presence of Concept Drift and Hidden Contexts," Machine Learning, vol. 23, no. 1, pp. 69-101, 1996.
-
(1996)
Machine Learning
, vol.23
, Issue.1
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
14
-
-
84883713774
-
Learning drifting concepts: Examples selection vs example weighting
-
R. Klinkenberg, "Learning Drifting Concepts: Examples Selection vs Example Weighting," Intelligent Data Analysis, special issue on incremental learning systems capable of dealing with concept drift, vol. 8, no. 3, pp. 281-300, 2004.
-
(2004)
Intelligent Data Analysis, Special Issue on Incremental Learning Systems Capable of Dealing with Concept Drift
, vol.8
, Issue.3
, pp. 281-300
-
-
Klinkenberg, R.1
-
15
-
-
19544389988
-
An adaptive learning approach for noisy data streams
-
Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004
-
F. Chu, Y. Wang, and C. Zaniolo, "An Adaptive Learning Approach for Noisy Data Streams," Proc. Fourth IEEE Int'l Conf. Data Mining, pp. 351-354, 2004. (Pubitemid 40731055)
-
(2004)
Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004
, pp. 351-354
-
-
Chu, F.1
Wang, Y.2
Zaniolo, C.3
-
16
-
-
78149292125
-
Dynamic weighted majority: A new ensemble method for tracking concept drift
-
J.Z. Kolter and M.A. Maloof, "Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift," Proc. Third IEEE Int'l Conf. Data Mining, pp. 123-130, 2003.
-
(2003)
Proc. Third IEEE Int'l Conf. Data Mining
, pp. 123-130
-
-
Kolter, J.Z.1
Maloof, M.A.2
-
17
-
-
77952415079
-
Mining concept-drifting data streams using ensemble classifiers
-
L. Getoor, T.E. Senator, P. Domingos, and C. Faloutsos, eds.
-
H. Wang, W. Fan, P.S. Yu, and J. Han, "Mining Concept-Drifting Data Streams Using Ensemble Classifiers," Proc. ACM SIGKDD, L. Getoor, T.E. Senator, P. Domingos, and C. Faloutsos, eds., pp. 226-235, 2003.
-
(2003)
Proc. ACM SIGKDD
, pp. 226-235
-
-
Wang, H.1
Fan, W.2
Yu, P.S.3
Han, J.4
-
18
-
-
41849096368
-
Boosting classifiers for drifting concepts
-
M. Scholz and R. Klinkenberg, "Boosting Classifiers for Drifting Concepts," Intelligent Data Analysis, vol. 11, no. 1, pp. 3-28, 2007.
-
(2007)
Intelligent Data Analysis
, vol.11
, Issue.1
, pp. 3-28
-
-
Scholz, M.1
Klinkenberg, R.2
-
19
-
-
0041965987
-
Tracking a small set of experts by mixing past posteriors
-
O. Bousquet and M. Warmuth, "Tracking a Small Set of Experts by Mixing Past Posteriors," J. Machine Learning Research, vol. 3, pp. 363-396, 2002.
-
(2002)
J. Machine Learning Research
, vol.3
, pp. 363-396
-
-
Bousquet, O.1
Warmuth, M.2
-
20
-
-
1142291588
-
A framework for change diagnosis of data streams
-
C.C. Aggarwal, "A Framework for Change Diagnosis of Data Streams," Proc. ACM SIGMOD, pp. 575-586, 2003.
-
(2003)
Proc. ACM SIGMOD
, pp. 575-586
-
-
Aggarwal, C.C.1
-
21
-
-
44649190568
-
Unsupervised change analysis using supervised learning
-
S. Hido, T. Ide, H. Kashima, H. Kubo, and H. Matsuzawa, "Unsupervised Change Analysis Using Supervised Learning," Proc. Pacific Asia Conf. Advances in Knowledge Discovery and Data Mining, pp. 148-159, 2008.
-
(2008)
Proc. Pacific Asia Conf. Advances in Knowledge Discovery and Data Mining
, pp. 148-159
-
-
Hido, S.1
Ide, T.2
Kashima, H.3
Kubo, H.4
Matsuzawa, H.5
-
22
-
-
85123650840
-
Detecting change in data streams
-
Very Large Data Bases, ̈ M.A. Nascimento, M.T. Ozsu, D. Kossmann, R.J. Miller, J.A. Blakeley, and K.B. Schiefer, eds.
-
D. Kifer, S. Ben-David, and J. Gehrke, "Detecting Change in Data Streams," Proc. 13th Int'l Conf. Very Large Data Bases, ̈ M.A. Nascimento, M.T. Ozsu, D. Kossmann, R.J. Miller, J.A. Blakeley, and K.B. Schiefer, eds., pp. 180-191, 2004.
-
(2004)
Proc. 13th Int'l Conf
, pp. 180-191
-
-
Kifer, D.1
Ben-David, S.2
Gehrke, J.3
-
23
-
-
14944367082
-
Sketch-based change detection: Methods, evaluation, and applications
-
B. Krishnamurthy, S. Sen, Y. Zhang, and Y. Chen, "Sketch-Based Change Detection: Methods, Evaluation, and Applications," Proc. Internet Measurement Conf., pp. 234-247, 2003.
-
(2003)
Proc. Internet Measurement Conf.
, pp. 234-247
-
-
Krishnamurthy, B.1
Sen, S.2
Zhang, Y.3
Chen, Y.4
-
24
-
-
53149151512
-
Knowledge discovery from heterogeneous dynamic systems using change-point correlations
-
T. Idé and K. Inoue, "Knowledge Discovery from Heterogeneous Dynamic Systems Using Change-Point Correlations," Proc. SIAM Conf. Data Mining, pp. 571-576, 2005.
-
(2005)
Proc. SIAM Conf. Data Mining
, pp. 571-576
-
-
Idé, T.1
Inoue, K.2
-
25
-
-
84947593543
-
Mining changes for real-life applications
-
Y. Kambayashi, M.K. Mohania, and A.M. Tjoa, eds.
-
B. Liu, W. Hsu, H.-S. Han, and Y. Xia, "Mining Changes for Real-Life Applications," Proc. Int'l Conf. Data Warehousing and Knowledge Discovery, Y. Kambayashi, M.K. Mohania, and A.M. Tjoa, eds., pp. 337-346, 2000.
-
(2000)
Proc. Int'l Conf. Data Warehousing and Knowledge Discovery
, pp. 337-346
-
-
Liu, B.1
Hsu, W.2
Han, H.-S.3
Xia, Y.4
-
26
-
-
33745907274
-
A general framework for temporal video scene segmentation
-
Y. Zhai and M. Shah, "A General Framework for Temporal Video Scene Segmentation," Proc. 10th Int'l Conf. Computer Vision, pp. 1111-1116, 2005.
-
(2005)
Proc. 10th Int'l Conf. Computer Vision
, pp. 1111-1116
-
-
Zhai, Y.1
Shah, M.2
-
27
-
-
1942484490
-
Testing exchangeability on-line
-
T. Fawcett and N. Mishra, eds.
-
V. Vovk, I. Nouretdinov, and A. Gammerman, "Testing Exchangeability On-Line," Proc. 20th Int'l Conf. Machine Learning, T. Fawcett and N. Mishra, eds., pp. 768-775, 2003.
-
(2003)
Proc. 20th Int'l Conf. Machine Learning
, pp. 768-775
-
-
Vovk, V.1
Nouretdinov, I.2
Gammerman, A.3
-
28
-
-
52149120844
-
Transductive confidence machines for pattern recognition
-
T. Elomaa, H. Mannila, and H. Toivonen, eds.
-
K. Proedrou, I. Nouretdinov, V. Vovk, and A. Gammerman, "Transductive Confidence Machines for Pattern Recognition," Proc. 13th European Conf. Machine Learning, T. Elomaa, H. Mannila, and H. Toivonen, eds., pp. 381-390, 2002.
-
(2002)
Proc. 13th European Conf. Machine Learning
, pp. 381-390
-
-
Proedrou, K.1
Nouretdinov, I.2
Vovk, V.3
Gammerman, A.4
-
29
-
-
84880657197
-
Transduction with confidence and credibility
-
Artificial Intelligence, T. Dean, ed.
-
C. Saunders, A. Gammerman, and V. Vovk, "Transduction with Confidence and Credibility," Proc. 16th Int'l Joint Conf. Artificial Intelligence, T. Dean, ed., pp. 722-726, 1999.
-
(1999)
Proc. 16th Int'l Joint Conf
, pp. 722-726
-
-
Saunders, C.1
Gammerman, A.2
Vovk, V.3
-
30
-
-
84902237449
-
Inductive confidence machines for regression
-
H. Papadopoulos, K. Proedrou, V. Vovk, and A. Gammerman, "Inductive Confidence Machines for Regression," Proc. 13th European Conf. Machine Learning, pp. 345-356, 2002.
-
(2002)
Proc. 13th European Conf. Machine Learning
, pp. 345-356
-
-
Papadopoulos, H.1
Proedrou, K.2
Vovk, V.3
Gammerman, A.4
-
31
-
-
48049087667
-
Query by transduction
-
Sept.
-
S.-S. Ho and H. Wechsler, "Query by Transduction," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 9, pp. 1557-1571, Sept. 2008.
-
(2008)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.30
, Issue.9
, pp. 1557-1571
-
-
Ho, S.-S.1
Wechsler, H.2
-
38
-
-
49549123783
-
Sequential change detection on data streams
-
S. Muthukrishnan, E. van den Berg, and Y. Wu, "Sequential Change Detection on Data Streams," Proc. ICDM Workshop Data Stream Mining and Management, pp. 551-556, 2007.
-
(2007)
Proc. ICDM Workshop Data Stream Mining and Management
, pp. 551-556
-
-
Muthukrishnan, S.1
Van Den Berg, E.2
Wu, Y.3
-
39
-
-
0033896276
-
Performance characterization of video-shot-change detection methods
-
Feb.
-
U. Gargi, R. Kasturi, and S.H. Strayer, "Performance Characterization of Video-Shot-Change Detection Methods," IEEE Trans. Circuits and Systems for Video Technology, vol. 10, no. 1, pp. 1-13, Feb. 2000.
-
(2000)
IEEE Trans. Circuits and Systems for Video Technology
, vol.10
, Issue.1
, pp. 1-13
-
-
Gargi, U.1
Kasturi, R.2
Strayer, S.H.3
-
40
-
-
0035789299
-
Mining time-changing data streams
-
G. Hulten, L. Spencer, and P. Domingos, "Mining Time-Changing Data Streams," Proc. ACM SIGKDD, pp. 97-106, 2001.
-
(2001)
Proc. ACM SIGKDD
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
41
-
-
0000844893
-
Support vector regression machines
-
MIT Press
-
H. Drucker, C.J.C. Burges, L. Kaufman, C.J.C. Burges, L. Kaufman, A. Smola, and V. Vapnik, "Support Vector Regression Machines," Advances in Neural Information Processing Systems, MIT Press, 1996.
-
(1996)
Advances in Neural Information Processing Systems
-
-
Drucker, H.1
Burges, C.J.C.2
Kaufman, L.3
Burges, C.J.C.4
Kaufman, L.5
Smola, A.6
Vapnik, V.7
-
43
-
-
0003619255
-
Bias, variance, and arcing classifiers
-
Statistics Dept., Univ. of California
-
L. Breiman, "Bias, Variance, and Arcing Classifiers," Technical Report 460, Statistics Dept., Univ. of California, http://citeseer. ist.psu.edu/breiman96bias.html, 1996.
-
(1996)
Technical Report 460
-
-
Breiman, L.1
-
45
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y. LeCun, B. Boser, J.S. Denker, D. Henderson, R.E. Howard, W. Hubbard, and L.J. Jackel, "Backpropagation Applied to Handwritten Zip Code Recognition," Neural Computation, vol. 1, pp. 541-551, 1989.
-
(1989)
Neural Computation
, vol.1
, pp. 541-551
-
-
Lecun, Y.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.J.7
|