-
1
-
-
0035789299
-
Mining time-changing data streams
-
New York, NY: ACM Press
-
G. Hulten, L. Spencer, and P. Domingos, "Mining time-changing data streams," in Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY: ACM Press, 2001, pp. 97-106.
-
(2001)
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
2
-
-
0141741872
-
-
Ph.D. dissertation, School of Information Technology and Engineering, George Mason University, Fairfax, VA
-
M. Maloof, "Progressive partial memory learning," Ph.D. dissertation, School of Information Technology and Engineering, George Mason University, Fairfax, VA, 1996.
-
(1996)
Progressive Partial Memory Learning
-
-
Maloof, M.1
-
3
-
-
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, pp. 69-101, 1996.
-
(1996)
Machine Learning
, vol.23
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
4
-
-
0034299906
-
Selecting examples for partial memory learning
-
M. Maloof and R. Michalski, "Selecting examples for partial memory learning," Machine Learning, vol. 41, pp. 27-52, 2000.
-
(2000)
Machine Learning
, vol.41
, pp. 27-52
-
-
Maloof, M.1
Michalski, R.2
-
6
-
-
0004576437
-
-
Master's thesis, Department of Electrical and Computer Engineering, University of Texas, Austin
-
G. Gupta, "Modeling customer dynamics using motion estimation in a value-based cluster space for large retail data-sets," Master's thesis, Department of Electrical and Computer Engineering, University of Texas, Austin, 2000.
-
(2000)
Modeling Customer Dynamics Using Motion Estimation in a Value-based Cluster Space for Large Retail Data-sets
-
-
Gupta, G.1
-
7
-
-
0030819669
-
Empirical support for Winnow and Weighted-Majority algorithms: Results on a calendar scheduling domain
-
A. Blum, "Empirical support for Winnow and Weighted-Majority algorithms: Results on a calendar scheduling domain," Machine Learning, vol. 26, pp. 5-23, 1997.
-
(1997)
Machine Learning
, vol.26
, pp. 5-23
-
-
Blum, A.1
-
9
-
-
0031164523
-
Tracking context changes through meta-learning
-
G. Widmer, "Tracking context changes through meta-learning," Machine Learning, vol. 27, pp. 259-286, 1997.
-
(1997)
Machine Learning
, vol.27
, pp. 259-286
-
-
Widmer, G.1
-
10
-
-
84884637057
-
Incremental learning with partial instance memory
-
ser. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag
-
M. Maloof and R. Michalski, "Incremental learning with partial instance memory," in Foundations of intelligent systems, ser. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag, 2002, vol. 2366, pp. 16-27.
-
(2002)
Foundations of Intelligent Systems
, vol.2366
, pp. 16-27
-
-
Maloof, M.1
Michalski, R.2
-
11
-
-
0029481521
-
A method for partial-memory incremental learning and its application to computer intrusion detection
-
Los Alamitos, CA: IEEE Press
-
_, "A method for partial-memory incremental learning and its application to computer intrusion detection," in Proceedings of the Seventh IEEE International Conference on Tools with Artificial Intelligence. Los Alamitos, CA: IEEE Press, 1995, pp. 392-397.
-
(1995)
Proceedings of the Seventh IEEE International Conference on Tools with Artificial Intelligence
, pp. 392-397
-
-
-
12
-
-
0033075882
-
Separate-and-conquer rule learning
-
J. Fürnkranz, "Separate-and-conquer rule learning," Artificial Intelligence Review, vol. 13, no. 1, pp. 3-54, 1999.
-
(1999)
Artificial Intelligence Review
, vol.13
, Issue.1
, pp. 3-54
-
-
Fürnkranz, J.1
-
14
-
-
0026992322
-
An analysis of Bayesian classifiers
-
Menlo Park, CA: AAAI Press
-
P. Langley, W. Iba, and K. Thompson, "An analysis of Bayesian classifiers," in Proceedings of the Tenth National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press, 1992, pp. 223-228.
-
(1992)
Proceedings of the Tenth National Conference on Artificial Intelligence
, pp. 223-228
-
-
Langley, P.1
Iba, W.2
Thompson, K.3
-
16
-
-
0004116989
-
-
Cambridge, MA: MIT Press
-
T. Cormen, C. Leiserson, R. Rivest, and C. Stein, Introduction to algorithms, 2nd ed. Cambridge, MA: MIT Press, 2001.
-
(2001)
Introduction to Algorithms, 2nd Ed.
-
-
Cormen, T.1
Leiserson, C.2
Rivest, R.3
Stein, C.4
-
18
-
-
34249966007
-
The CN2 induction algorithm
-
P. Clark and T. Niblett, "The CN2 induction algorithm," Machine Learning, vol. 3, pp. 261-284, 1989.
-
(1989)
Machine Learning
, vol.3
, pp. 261-284
-
-
Clark, P.1
Niblett, T.2
-
21
-
-
0019033513
-
Pattern recognition as rule-guided inductive inference
-
R. Michalski, "Pattern recognition as rule-guided inductive inference," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 2, no. 4, pp. 349-361, 1980.
-
(1980)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.2
, Issue.4
, pp. 349-361
-
-
Michalski, R.1
-
22
-
-
0003046840
-
A theory and methodology of inductive learning
-
San Francisco, CA: Morgan Kaufmann
-
_, "A theory and methodology of inductive learning," in Machine Learning: An Artificial Intelligence Approach, R. Michalski, J. Car- bonell, and T. Mitchell, Eds. San Francisco, CA: Morgan Kaufmann, 1983, vol. 1, pp. 83-134.
-
(1983)
Machine Learning: An Artificial Intelligence Approach
, vol.1
, pp. 83-134
-
-
Michalski, R.1
Car-Bonell, J.2
Mitchell, T.3
-
23
-
-
0141629996
-
1 hypotheses: The underlying methodology and the description of program AQ11
-
Department of Computer Science, University of Illinois, Urbana
-
1 hypotheses: The underlying methodology and the description of program AQ11," Department of Computer Science, University of Illinois, Urbana, Technical Report UIUCDCS-F-83-905, 1983.
-
(1983)
Technical Report
, vol.UIUCDCS-F-83-905
-
-
Michalski, R.1
Larson, J.2
-
24
-
-
0002284221
-
Learning rules that classify e-mail
-
Menlo Park, CA: AAAI Press, Technical Report SS-96-05
-
W. Cohen, "Learning rules that classify e-mail," in Machine learning in information access: Papers from the 1996 AAAI Spring Symposium. Menlo Park, CA: AAAI Press, 1996, pp. 18-25, Technical Report SS-96-05.
-
(1996)
Machine Learning in Information Access: Papers from the 1996 AAAI Spring Symposium
, pp. 18-25
-
-
Cohen, W.1
-
25
-
-
0002337827
-
Machine learning and data mining
-
Nov.
-
T. Mitchell, "Machine learning and data mining," Communications of the ACM, vol. 42, no. 11, pp. 30-36, Nov. 1999.
-
(1999)
Communications of the ACM
, vol.42
, Issue.11
, pp. 30-36
-
-
Mitchell, T.1
-
27
-
-
0006033840
-
Incremental learning of concept descriptions: A method and experimental results
-
J. Hayes, D. Michie, and J. Richards, Eds. Oxford: Clarendon Press
-
R. Reinke and R. Michalski, "Incremental learning of concept descriptions: A method and experimental results," in Machine Intelligence 11, J. Hayes, D. Michie, and J. Richards, Eds. Oxford: Clarendon Press, 1988, pp. 263-288.
-
(1988)
Machine Intelligence
, vol.11
, pp. 263-288
-
-
Reinke, R.1
Michalski, R.2
-
29
-
-
0031246271
-
Decision tree induction based on efficient tree restructuring
-
P. Utgoff, N. Berkman, and J. Clouse, "Decision tree induction based on efficient tree restructuring," Machine Learning, vol. 29, pp. 5-44, 1997.
-
(1997)
Machine Learning
, vol.29
, pp. 5-44
-
-
Utgoff, P.1
Berkman, N.2
Clouse, J.3
-
30
-
-
0141741870
-
Learning time-varying concepts
-
San Francisco, CA: Morgan Kaufmann
-
A. Kuh, T. Petsche, and R. Rivest, "Learning time-varying concepts," in Advances in Neural Information Processing Systems 3. San Francisco, CA: Morgan Kaufmann, 1991, vol. 3, pp. 183-189.
-
(1991)
Advances in Neural Information Processing Systems 3
, vol.3
, pp. 183-189
-
-
Kuh, A.1
Petsche, T.2
Rivest, R.3
-
31
-
-
0035904595
-
Predictive learning models for concept drift
-
J. Case, S. Jain, S. Kaufmann, and A. Sharma, "Predictive learning models for concept drift," Theoretical Computer Science, vol. 268, no. 2, pp. 323-349, 2001.
-
(2001)
Theoretical Computer Science
, vol.268
, Issue.2
, pp. 323-349
-
-
Case, J.1
Jain, S.2
Kaufmann, S.3
Sharma, A.4
-
32
-
-
23044532783
-
Classification of customer call data in the presence of concept drift and noise
-
ser. Lecture Notes in Computer Science
-
M. Black and R. Hickey, "Classification of customer call data in the presence of concept drift and noise," in Soft-Ware 2002: Computing in an Imperfect World, ser. Lecture Notes in Computer Science, 2002, vol. 2311, pp. 74-87.
-
(2002)
Soft-Ware 2002: Computing in an Imperfect World
, vol.2311
, pp. 74-87
-
-
Black, M.1
Hickey, R.2
-
33
-
-
0025725905
-
Instance-based learning algorithms
-
D. Aha, D. Kibler, and M. Albert, "Instance-based learning algorithms," Machine Learning, vol. 6, pp. 37-66, 1991.
-
(1991)
Machine Learning
, vol.6
, pp. 37-66
-
-
Aha, D.1
Kibler, D.2
Albert, M.3
-
34
-
-
0029679044
-
Reinforcement learning: A survey
-
L. Kaelbling, M. Littman, and A. Moore, "Reinforcement learning: A survey," Journal of Artificial Intelligence Research, vol. 4, pp. 237-285, 1996.
-
(1996)
Journal of Artificial Intelligence Research
, vol.4
, pp. 237-285
-
-
Kaelbling, L.1
Littman, M.2
Moore, A.3
-
35
-
-
85031586491
-
Generalizing over aspect and location for rooftop detection
-
Los Alamitos, CA: IEEE Press
-
M. Maloof, P. Langley, T. Binford, and R. Nevatia, "Generalizing over aspect and location for rooftop detection," in Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (WACV '98). Los Alamitos, CA: IEEE Press, 1998, pp. 194-199.
-
(1998)
Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (WACV '98)
, pp. 194-199
-
-
Maloof, M.1
Langley, P.2
Binford, T.3
Nevatia, R.4
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