-
1
-
-
0029242750
-
A method for fuzzy rules extraction directly from numerical data and its application to pattern classification
-
S. Abe A method for fuzzy rules extraction directly from numerical data and its application to pattern classification IEEE Transaction on Fuzzy System 3 1 1995 18 28
-
(1995)
IEEE Transaction on Fuzzy System
, vol.3
, Issue.1
, pp. 18-28
-
-
Abe, S.1
-
2
-
-
1142279663
-
An approach for fuzzy rule-base adaptation using on-line clustering
-
P. Angelov An approach for fuzzy rule-base adaptation using on-line clustering International Journal of Approximate Reasoning 35 2004 275 289
-
(2004)
International Journal of Approximate Reasoning
, vol.35
, pp. 275-289
-
-
Angelov, P.1
-
3
-
-
77953089698
-
FSVM-CIL: Fuzzy support vector machines for class imbalance learning
-
R. Batuwita, and V. Palade FSVM-CIL: fuzzy support vector machines for class imbalance learning IEEE Transaction on Fuzzy Systems 18 3 2010 558 571
-
(2010)
IEEE Transaction on Fuzzy Systems
, vol.18
, Issue.3
, pp. 558-571
-
-
Batuwita, R.1
Palade, V.2
-
4
-
-
75149139352
-
GP-COACH: Genetic programming-based learning of compact and accurate fuzzy rule-based classification systems for high-dimensional problems
-
F.J. Berlanga, A.J. Rivera, M.J. del Jesus, and F. Herrera GP-COACH: genetic programming-based learning of compact and accurate fuzzy rule-based classification systems for high-dimensional problems Information Sciences 180 2010 1183 1200
-
(2010)
Information Sciences
, vol.180
, pp. 1183-1200
-
-
Berlanga, F.J.1
Rivera, A.J.2
Del Jesus, M.J.3
Herrera, F.4
-
7
-
-
33748339019
-
Towards incremental fuzzy classifiers
-
A. Bouchachia, and R. Mittermeir Towards incremental fuzzy classifiers Soft Computing 11 2007 193 207
-
(2007)
Soft Computing
, vol.11
, pp. 193-207
-
-
Bouchachia, A.1
Mittermeir, R.2
-
8
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 1998 121 167
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
9
-
-
0003238552
-
Incremental and decremental support vector machine learning
-
MIT Press Cambridge, MA
-
G. Cauwenberghs, and T. Poggio Incremental and decremental support vector machine learning Advances in Neural Information Processing Systems vol. 13 2000 MIT Press Cambridge, MA pp. 409-415
-
(2000)
Advances in Neural Information Processing Systems
, vol.13
, pp. 409-415
-
-
Cauwenberghs, G.1
Poggio, T.2
-
11
-
-
59149084385
-
Moving towards efficient decision tree construction
-
B. Chandra, and P.P. Varghese Moving towards efficient decision tree construction Information Sciences 179 2009 1059 1069
-
(2009)
Information Sciences
, vol.179
, pp. 1059-1069
-
-
Chandra, B.1
Varghese, P.P.2
-
15
-
-
33646371466
-
Online passive-aggressive algorithm
-
K. Crammer, O. Dekel, J. Keshet, S.S. Shwartz, and Y. Singer Online passive-aggressive algorithm Journal of Machine Learning Research 7 2006 551 585
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 551-585
-
-
Crammer, K.1
Dekel, O.2
Keshet, J.3
Shwartz, S.S.4
Singer, Y.5
-
17
-
-
0141480928
-
SVM incremental learning, adaptation and optimization
-
C.P. Diehl, G. Cauwenberghs, SVM incremental learning, adaptation and optimization, in: Proceedings of the International Joint Conference, Neural Networks, 2003, pp. 2685-2690.
-
(2003)
Proceedings of the International Joint Conference, Neural Networks
, pp. 2685-2690
-
-
Diehl, C.P.1
Cauwenberghs, G.2
-
18
-
-
0031269184
-
On the optimality of the simple Bayesian classifier under zero-one loss
-
P. Domingos, and M. Pazzani On the optimality of the simple Bayesian classifier under zero-one loss Machine Learning 1997 103 130
-
(1997)
Machine Learning
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
19
-
-
77958153264
-
So near and yet so far: New insight into properties of some well-known classifier paradigms
-
D. Fisch, B. Kühbeck, B. Sick, and S.J. Ovaska So near and yet so far: new insight into properties of some well-known classifier paradigms Information Sciences 180 2010 3381 3401
-
(2010)
Information Sciences
, vol.180
, pp. 3381-3401
-
-
Fisch, D.1
Kühbeck, B.2
Sick, B.3
Ovaska, S.J.4
-
20
-
-
84868111801
-
A new approximate maximal margin classification algorithm
-
C. Gentile A new approximate maximal margin classification algorithm Journal of Machine Learning Research 2 2001 213 242
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 213-242
-
-
Gentile, C.1
-
21
-
-
71249100687
-
Fuzzy SVM for noisy data: A robust membership calculation method
-
Jeju, Korea
-
G. Heo, P. Gader, Fuzzy SVM for noisy data: a robust membership calculation method, in: Proceedings of the 2009 IEEE International Conference on Fuzzy Systems, Jeju, Korea, 2009, pp. 431-436.
-
(2009)
Proceedings of the 2009 IEEE International Conference on Fuzzy Systems
, pp. 431-436
-
-
Heo, G.1
Gader, P.2
-
23
-
-
78650456987
-
An online framework for learning novel concepts over multiple cues
-
Xi'an, China
-
L. Jie, F. Orabona, B. Caputo, An online framework for learning novel concepts over multiple cues, in: Proc. of the Asian Conference on Computer Vision (ACCV), Xi'an, China, 2009, pp. 269-280.
-
(2009)
Proc. of the Asian Conference on Computer Vision (ACCV)
, pp. 269-280
-
-
Jie, L.1
Orabona, F.2
Caputo, B.3
-
24
-
-
33745777639
-
Incremental support vector learning: Analysis, implementation and applications
-
P. Laskov, C. Gehl, S. Kruger, and K.R. Muller Incremental support vector learning: analysis, implementation and applications Machine Learning 7 2006 1909 1936
-
(2006)
Machine Learning
, vol.7
, pp. 1909-1936
-
-
Laskov, P.1
Gehl, C.2
Kruger, S.3
Muller, K.R.4
-
26
-
-
78049527784
-
A weighted Lq adaptive least squares support vector machine classifiers - Robust and sparse approximation
-
J.L. Liu, J.P. Li, W.X. Xu, and Y. Shi A weighted Lq adaptive least squares support vector machine classifiers - robust and sparse approximation Expert Systems with Applications 38 3 2010 2253 2259
-
(2010)
Expert Systems with Applications
, vol.38
, Issue.3
, pp. 2253-2259
-
-
Liu, J.L.1
Li, J.P.2
Xu, W.X.3
Shi, Y.4
-
27
-
-
0033284915
-
Object recognition from local scale-invariant features
-
Washington, DC, USA
-
D.G. Lowe, Object recognition from local scale-invariant features, in: Proceedings of the International Conference on Computer Vision (ICCV), vol. 2, IEEE Computer Society, Washington, DC, USA, 1999, pp. 1150-1157.
-
(1999)
Proceedings of the International Conference on Computer Vision (ICCV), Vol. 2, IEEE Computer Society
, pp. 1150-1157
-
-
Lowe, D.G.1
-
28
-
-
77950917666
-
On-line evolving image classifiers and their application to surface inspection
-
E. Lughofer On-line evolving image classifiers and their application to surface inspection Image and Vision Computing 28 2010 1065 1079
-
(2010)
Image and Vision Computing
, vol.28
, pp. 1065-1079
-
-
Lughofer, E.1
-
29
-
-
33947393509
-
-
Springer Berlin/Heidelberg, Germany
-
K. Michels, F. Klawonn, A. Nurnberger, and R. Kruse Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers 2006 Springer Berlin/Heidelberg, Germany
-
(2006)
Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers
-
-
Michels, K.1
Klawonn, F.2
Nurnberger, A.3
Kruse, R.4
-
30
-
-
84868477631
-
Unification of fuzzy SVMs and rule extraction methods through imprecise domain knowledge
-
L. Magdalena, M. Ojeda-Aciego, J.L. Verdegay, Unification of fuzzy SVMs and rule extraction methods through imprecise domain knowledge, in: Proceedings of IPMU'08, pp. 1527-1534.
-
Proceedings of IPMU'08
, pp. 1527-1534
-
-
Magdalena, L.1
Ojeda-Aciego, M.2
Verdegay, J.L.3
-
32
-
-
84866871616
-
Structured output learning with polynomial kernel
-
Borovets, Bulgaria
-
H. Morita, H. Takamura, M. Okumura, Structured output learning with polynomial kernel, in: International Conference RANLP, Borovets, Bulgaria, 2009, pp. 281-286.
-
(2009)
International Conference RANLP
, pp. 281-286
-
-
Morita, H.1
Takamura, H.2
Okumura, M.3
-
33
-
-
14944343430
-
Multi-class support vector machines for protein secondary structure prediction
-
M.N. Nguyen, and J.C. Rajapakse Multi-class support vector machines for protein secondary structure prediction Genome Informatics 14 2003 218 227
-
(2003)
Genome Informatics
, vol.14
, pp. 218-227
-
-
Nguyen, M.N.1
Rajapakse, J.C.2
-
35
-
-
79952487670
-
Human centricity in computing with fuzzy sets: An interpretability quest for higher order granular constructs
-
W. Pedrycz Human centricity in computing with fuzzy sets: an interpretability quest for higher order granular constructs Journal of Ambient Intelligence and Humanized Computing 1 1 2010 65 74
-
(2010)
Journal of Ambient Intelligence and Humanized Computing
, vol.1
, Issue.1
, pp. 65-74
-
-
Pedrycz, W.1
-
37
-
-
80052921784
-
A parsimony fuzzy rule-based classifier using axiomatic fuzzy set theory and support vector machines
-
Y. Ren, X.D. Liu, and J.N. Cao A parsimony fuzzy rule-based classifier using axiomatic fuzzy set theory and support vector machines Information Sciences 181 2011 5180 5193
-
(2011)
Information Sciences
, vol.181
, pp. 5180-5193
-
-
Ren, Y.1
Liu, X.D.2
Cao, J.N.3
-
38
-
-
70350605478
-
Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system
-
B. Rezaee, and M.H.F. Zarandi Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system Information Sciences 180 2010 241 255
-
(2010)
Information Sciences
, vol.180
, pp. 241-255
-
-
Rezaee, B.1
Zarandi, M.H.F.2
-
39
-
-
11144273669
-
The perceptron: A probabilistic model for information storage and organization in the brain
-
F. Rosenblatt The perceptron: a probabilistic model for information storage and organization in the brain Psychological Review 65 6 1958 386 408
-
(1958)
Psychological Review
, vol.65
, Issue.6
, pp. 386-408
-
-
Rosenblatt, F.1
-
40
-
-
77958453890
-
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
-
J.A. Sanz, A. Fernández, H. Bustince, and F. Herrera Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning Information Sciences 180 2010 3674 3685
-
(2010)
Information Sciences
, vol.180
, pp. 3674-3685
-
-
Sanz, J.A.1
Fernández, A.2
Bustince, H.3
Herrera, F.4
-
41
-
-
0036881508
-
Robust support vector machine with bullet hole image classification
-
Q. Song Robust support vector machine with bullet hole image classification IEEE Transaction on System, Man, and Cybernetics, Part C 32 4 2002 440 448
-
(2002)
IEEE Transaction on System, Man, and Cybernetics, Part C
, vol.32
, Issue.4
, pp. 440-448
-
-
Song, Q.1
-
43
-
-
78049360982
-
Feature extraction and optimization of representative-slice in ambiguity function for moving radar emitter recognition
-
Dallas, USA
-
L. Wang, H.B. Ji, Y. Shi, Feature extraction and optimization of representative-slice in ambiguity function for moving radar emitter recognition, in: 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Dallas, USA, 2010, pp. 2246-2249.
-
(2010)
2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
, pp. 2246-2249
-
-
Wang, L.1
Ji, H.B.2
Shi, Y.3
-
44
-
-
30344453065
-
A new fuzzy support vector machine to evaluate credit risk
-
Y.Q. Wang, S.Y. Wang, and K.K. Lai A new fuzzy support vector machine to evaluate credit risk IEEE Transaction on Fuzzy Systems 13 6 2005 820 831
-
(2005)
IEEE Transaction on Fuzzy Systems
, vol.13
, Issue.6
, pp. 820-831
-
-
Wang, Y.Q.1
Wang, S.Y.2
Lai, K.K.3
-
45
-
-
84862293746
-
Online passive-aggressive algorithms on a budget
-
Chia Laguna Resort, Sardinia, Italy
-
Z. Wang, S. Vucetic, Online passive-aggressive algorithms on a budget, in: the 13th International Conference on Artificial Intelligence and Statistics, Chia Laguna Resort, Sardinia, Italy, 2010, pp. 908-915.
-
(2010)
13th International Conference on Artificial Intelligence and Statistics
, pp. 908-915
-
-
Wang, Z.1
Vucetic, S.2
-
46
-
-
77958150674
-
A dynamic classifier ensemble selection approach for noise data
-
J. Xiao, C.Z. He, X.Y. Jiang, and D.H. Liu A dynamic classifier ensemble selection approach for noise data Information Sciences 180 2010 3402 3421
-
(2010)
Information Sciences
, vol.180
, pp. 3402-3421
-
-
Xiao, J.1
He, C.Z.2
Jiang, X.Y.3
Liu, D.H.4
-
47
-
-
67650995440
-
Feature selection for multi-label naive Bayes classification
-
M.L. Zhang, J.M. Peña, and V. Robles Feature selection for multi-label naive Bayes classification Information Sciences 179 2009 3218 3229
-
(2009)
Information Sciences
, vol.179
, pp. 3218-3229
-
-
Zhang, M.L.1
Peña, J.M.2
Robles, V.3
|