-
1
-
-
33645579264
-
Support Vector Machines for Pattern Classification
-
Springer-Verlag, New York
-
S. Abe. Support Vector Machines for Pattern Classification. Springer-Verlag, New York, 2005.
-
(2005)
-
-
Abe, S.1
-
2
-
-
0004049728
-
Data Mining
-
Addison-Wesley Longman, Reading, MA
-
P. Adriaans and D. Zantinge. Data Mining. Addison-Wesley Longman, Reading, MA, 1997.
-
(1997)
-
-
Adriaans, P.1
Zantinge, D.2
-
3
-
-
0000874557
-
Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
-
M.A. Aizerman, E.M. Braverman, and L. Rozonoer. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning. Automation and Remote Control, 25(17): (821-837), 1964.
-
(1964)
Automation and Remote Control
, vol.25
, Issue.17
, pp. 821-837
-
-
Aizerman, M.A.1
Braverman, E.M.2
Rozonoer, L.3
-
4
-
-
0004239503
-
The New S Language
-
Wadsworth & Brooks, Pacific Grove, CA
-
R.A. Becker, J.M. Chambers, and A.R. Wilks. The New S Language. Wadsworth & Brooks, Pacific Grove, CA, 1988.
-
(1988)
-
-
Becker, R.A.1
Chambers, J.M.2
Wilks, A.R.3
-
7
-
-
0842306131
-
Convexity and Optimization in Rn
-
Wiley, Hoboken, NJ
-
L.D. Berkovitz. Convexity and Optimization in Rn.Wiley, Hoboken, NJ, 2002.
-
(2002)
-
-
Berkovitz, L.D.1
-
8
-
-
59749088671
-
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
-
Wiley, Hoboken, NJ
-
M.J.A. Berry and G.S. Linoff. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management.Wiley, Hoboken, NJ, 2004.
-
(2004)
-
-
Berry, M.J.A.1
Linoff, G.S.2
-
9
-
-
0003487601
-
Neural Networks for Pattern Recognition
-
Oxford University Press, NewYork
-
C. Bishop. Neural Networks for Pattern Recognition. Oxford University Press, NewYork, 1995.
-
(1995)
-
-
Bishop, C.1
-
10
-
-
33846516584
-
Pattern Recognition and Machine Learning
-
Springer-Verlag, New York
-
C. Bishop. Pattern Recognition and Machine Learning. Springer-Verlag, New York, 2006.
-
(2006)
-
-
Bishop, C.1
-
13
-
-
38849166405
-
Large-Scale Kernel Machines
-
MIT Press, Cambridge, MA
-
L. Bottou, O. Chapelle, D. DeCoste, and J. Weston. Large-Scale Kernel Machines. MIT Press, Cambridge, MA, 2007.
-
(2007)
-
-
Bottou, L.1
Chapelle, O.2
DeCoste, D.3
Weston, J.4
-
14
-
-
0004055894
-
Convex Optimization
-
Cambridge University Press, New York
-
S.P. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, New York, 2004.
-
(2004)
-
-
Boyd, S.P.1
Vandenberghe, L.2
-
16
-
-
0003802343
-
Classification and Regression Trees
-
Wadsworth Statistics/Probability Series,Wadsworth, Belmont, CA
-
L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone. Classification and Regression Trees.Wadsworth Statistics/Probability Series,Wadsworth, Belmont, CA, 1984.
-
(1984)
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
17
-
-
27144489164
-
A Tutorial on Support Vector Machines
-
C.J.C. Burges. A Tutorial on Support Vector Machines. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
18
-
-
0004322633
-
Simple Learning Algorithms for Training Support Vector Machines
-
Technical report. University of Bristol, UK
-
C. Campbell and N. Cristianini. Simple Learning Algorithms for Training Support Vector Machines. Technical report. University of Bristol, UK, 1999.
-
(1999)
-
-
Campbell, C.1
Cristianini, N.2
-
19
-
-
0003942654
-
Programming with Data: A Guide to the S Language
-
Springer-Verlag, New York
-
J.M. Chambers. Programming with Data: A Guide to the S Language. Springer-Verlag, New York, 1998.
-
(1998)
-
-
Chambers, J.M.1
-
20
-
-
0003710380
-
LIBSVM: A Library for Support Vector Machines
-
Software available at
-
C. Chang and C. Lin. LIBSVM: A Library for Support Vector Machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
-
(2001)
-
-
Chang, C.1
Lin, C.2
-
21
-
-
77957984183
-
Neural Networks and Artificial Intelligence for Biomedical Engineering
-
Wiley-IEEE Press, New York
-
M.E. Cohen and D.L. Hudson. Neural Networks and Artificial Intelligence for Biomedical Engineering.Wiley-IEEE Press, New York, 1999.
-
(1999)
-
-
Cohen, M.E.1
Hudson, D.L.2
-
22
-
-
34249753618
-
Support-Vector Networks
-
C. Cortes and V. Vapnik. Support-Vector Networks. Machine Learning, 20(3):273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
23
-
-
0003798635
-
An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
-
Cambridge University Press, New York
-
N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, New York, 2000.
-
(2000)
-
-
Cristianini, N.1
Shawe-Taylor, J.2
-
24
-
-
0037691834
-
Introductory Statistics with R
-
Springer-Verlag, New York
-
P. Dalgaard. Introductory Statistics with R. Springer-Verlag, New York, 2002.
-
(2002)
-
-
Dalgaard, P.1
-
26
-
-
0003472470
-
Pattern Classification and Scene Analysis
-
Wiley, New York
-
R.O. Duda and P.E. Hart. Pattern Classification and Scene Analysis. Wiley, New York, 1973.
-
(1973)
-
-
Duda, R.O.1
Hart, P.E.2
-
27
-
-
0002344794
-
Bootstrap Methods: Another Look at the Jackknife
-
B. Efron. Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1):1-26, 1979.
-
(1979)
Annals of Statistics
, vol.7
, Issue.1
, pp. 1-26
-
-
Efron, B.1
-
28
-
-
0026311694
-
Statistical Data Analysis in the Computer Age
-
B. Efron and R. Tibshirani. Statistical Data Analysis in the Computer Age. Science, 253(5018):390-395, 1991.
-
(1991)
Science
, vol.253
, Issue.5018
, pp. 390-395
-
-
Efron, B.1
Tibshirani, R.2
-
29
-
-
0003991665
-
An Introduction to the Bootstrap
-
Chapman & Hall/CRC Press, Boca Raton, FL
-
B. Efron and R. Tibshirani. An Introduction to the Bootstrap. Chapman & Hall/CRC Press, Boca Raton, FL, 1993.
-
(1993)
-
-
Efron, B.1
Tibshirani, R.2
-
30
-
-
29144499905
-
Working Set Selection Using Second Order Information for Training Support Vector Machines
-
R.E. Fan, P.H. Chen, and C.J. Lin. Working Set Selection Using Second Order Information for Training Support Vector Machines. Journal of Machine Learning Research, 6:1889-1918, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1889-1918
-
-
Fan, R.E.1
Chen, P.H.2
Lin, C.J.3
-
31
-
-
0003641269
-
Advances in Knowledge Discovery and Data Mining
-
MIT Press, Cambridge, MA
-
U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy. Advances in Knowledge Discovery and Data Mining. MIT Press, Cambridge, MA, 1996.
-
(1996)
-
-
Fayyad, U.M.1
Piatetsky-Shapiro, G.2
Smyth, P.3
Uthurusamy, R.4
-
32
-
-
0033281425
-
Large Margin Classification Using the PerceptronAlgorithm
-
Y. Freund and R.E. Schapire. Large Margin Classification Using the PerceptronAlgorithm. Machine Learning, 37(3):277-296, 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 277-296
-
-
Freund, Y.1
Schapire, R.E.2
-
33
-
-
0000897328
-
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines
-
In J. Shavlik, editor, Proceedings of the 15th International Conference on Machine Learning. Morgan Kaufmann, San Francisco
-
T. Friess, N. Cristianini, and C. Campbell. The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. In J. Shavlik, editor, Proceedings of the 15th International Conference on Machine Learning. Morgan Kaufmann, San Francisco, 1998.
-
(1998)
-
-
Friess, T.1
Cristianini, N.2
Campbell, C.3
-
34
-
-
1342280649
-
Elements of Computational Statistics
-
Springer-Verlag, New York
-
J.E. Gentle. Elements of Computational Statistics. Springer-Verlag, New York, 2002.
-
(2002)
-
-
Gentle, J.E.1
-
35
-
-
0003609228
-
Finite-Dimensional Vector Spaces
-
Springer-Verlag, New York
-
P.R. Halmos. Finite-Dimensional Vector Spaces. Springer-Verlag, New York, 1974.
-
(1974)
-
-
Halmos, P.R.1
-
36
-
-
0003684449
-
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
Springer-Verlag, New York
-
T. Hastie, R. Tibshirani, and J.H. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag, New York, 2001.
-
(2001)
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.H.3
-
37
-
-
34648856090
-
Linear Algebra
-
J. Hefferon. Linear Algebra. http://joshua.smcvt.edu/linalg.html.
-
-
-
Hefferon, J.1
-
38
-
-
0003946694
-
Learning Kernel Classifiers: Theory and Algorithms
-
MITPress, Cambridge, MA
-
R. Herbrich. Learning Kernel Classifiers: Theory and Algorithms. MITPress, Cambridge, MA, 2002.
-
(2002)
-
-
Herbrich, R.1
-
39
-
-
0003808669
-
Introduction to Mathematical Statistics
-
Prentice Hall, Upper Saddle River, NJ
-
R.V. Hogg, A. Craig, and J.W. McKean. Introduction to Mathematical Statistics. Prentice Hall, Upper Saddle River, NJ, 2004.
-
(2004)
-
-
Hogg, R.V.1
Craig, A.2
McKean, J.W.3
-
40
-
-
33645695410
-
Support Vector Machines in R
-
A. Karatzoglou, D. Meyer, and K. Hornik. Support Vector Machines in R. Journal of Statistical Software, 15(9):9, 2006.
-
(2006)
Journal of Statistical Software
, vol.15
, Issue.9
, pp. 9
-
-
Karatzoglou, A.1
Meyer, D.2
Hornik, K.3
-
41
-
-
0003573483
-
Minima of Functions of Several Variables with Inequalities as Side Constraints
-
Master's thesis, Dept. of Mathematics, University of Chicago
-
W. Karush. Minima of Functions of Several Variables with Inequalities as Side Constraints. Master's thesis, Dept. of Mathematics, University of Chicago, 1939.
-
(1939)
-
-
Karush, W.1
-
42
-
-
0004291150
-
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
-
MIT Press, Cambridge, MA
-
V. Kecman. Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models. MIT Press, Cambridge, MA, 2001.
-
(2001)
-
-
Kecman, V.1
-
43
-
-
0003927250
-
The Data Warehouse Toolkit
-
Wiley, Hoboken, NJ
-
R. Kimball. The Data Warehouse Toolkit.Wiley, Hoboken, NJ, 2002.
-
(2002)
-
-
Kimball, R.1
-
44
-
-
0003620074
-
Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns
-
Wiley, Hoboken, NJ
-
M. Kirby. Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns.Wiley, Hoboken, NJ, 2000.
-
(2000)
-
-
Kirby, M.1
-
45
-
-
84889411141
-
Lagrange Multipliers Without Permanent Scarring
-
D. Klein. Lagrange Multipliers Without Permanent Scarring, 2007. http://www.cs. berkeley.edu/~klein/papers/lagrange-multipliers.pdf.
-
(2007)
-
-
Klein, D.1
-
46
-
-
85164392958
-
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
-
Morgan Kaufmann, San Francisco
-
R. Kohavi. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. In Proceedings of the 14th International Joint Conference on Artificial Intelligence, pages 1137-1143. Morgan Kaufmann, San Francisco, 1995.
-
(1995)
Proceedings of the 14th International Joint Conference on Artificial Intelligence
, pp. 1137-1143
-
-
Kohavi, R.1
-
47
-
-
0002229304
-
Pairwise Classification and Support Vector Machines
-
MIT Press, Cambridge, MA
-
U. Kressel. Pairwise Classification and Support Vector Machines, in Advances in Kernel Methods: Support Vector Learning pages 255-268. MIT Press, Cambridge, MA, 1999.
-
(1999)
Advances in Kernel Methods: Support Vector Learning
, pp. 255-268
-
-
Kressel, U.1
-
48
-
-
0003921180
-
Advanced Engineering Mathematics
-
Wiley, New York
-
E. Kreyszig. Advanced Engineering Mathematics.Wiley, New York, 1993.
-
(1993)
-
-
Kreyszig, E.1
-
49
-
-
0003028425
-
Nonlinear Programming
-
University of California Press; Berkeley, CA, and Cambridge University Press, Cambridge, UK
-
H.W. Kuhn and A.W. Tucker. Nonlinear Programming. In Proceedings of the 2nd Berkeley Symposium on Mathematical Statistics and Probability. University of California Press; Berkeley, CA, and Cambridge University Press, Cambridge, UK, 1951.
-
(1951)
Proceedings of the 2nd Berkeley Symposium on Mathematical Statistics and Probability
-
-
Kuhn, H.W.1
Tucker, A.W.2
-
50
-
-
69949176019
-
The Implementation of Support Vector Machines using the Sequential Minimal Optimization Algorithm
-
Ph.D. dissertation, McGill University
-
G. Mak. The Implementation of Support Vector Machines using the Sequential Minimal Optimization Algorithm. Ph.D. dissertation, McGill University, 2000.
-
(2000)
-
-
Mak, G.1
-
51
-
-
0003486924
-
Practical Neural Network Recipes in C++
-
Academic Press, NewYork
-
T. Masters. Practical Neural Network Recipes in C++. Academic Press, NewYork, 1993.
-
(1993)
-
-
Masters, T.1
-
52
-
-
79952323976
-
Bootstrap 101: Obtain Robust Confidence Intervals for Any Statistic
-
D. Miller. Bootstrap 101: Obtain Robust Confidence Intervals for Any Statistic. In Proceedings of the SAS User Group Conference, 2004.
-
(2004)
Proceedings of the SAS User Group Conference
-
-
Miller, D.1
-
53
-
-
0003716586
-
Perceptrons: An Introduction to Computational Geometry
-
MIT Press, Cambridge, MA
-
M. Minsky and S. Papert. Perceptrons: An Introduction to Computational Geometry. MIT Press, Cambridge, MA, 1988.
-
(1988)
-
-
Minsky, M.1
Papert, S.2
-
54
-
-
0004255908
-
Machine Learning
-
McGraw-Hill, New York
-
T.M. Mitchell. Machine Learning. McGraw-Hill, New York, 1997.
-
(1997)
-
-
Mitchell, T.M.1
-
55
-
-
36749063069
-
R Graphics
-
Chapman & Hall/CRC Press, Boca Raton, FL
-
P. Murrell. R Graphics. Chapman & Hall/CRC Press, Boca Raton, FL, 2005.
-
(2005)
-
-
Murrell, P.1
-
56
-
-
0003696537
-
Introductory Lectures on Convex Optimization: A Basic Course
-
Kluwer Academic, Norwell, MA
-
Y. Nesterov. Introductory Lectures on Convex Optimization: A Basic Course. Kluwer Academic, Norwell, MA, 2004.
-
(2004)
-
-
Nesterov, Y.1
-
57
-
-
0031334889
-
Improved Training Algorithm for Support Vector Machine
-
Presented at NNSP'97
-
E. Osuna, R. Freund, and F. Girosi. Improved Training Algorithm for Support Vector Machine. Presented at NNSP'97, 1997.
-
(1997)
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
58
-
-
0004322632
-
Sequential Minimal Optimisation:AFastAlgorithm forTraining SupportVector Machines
-
Microsoft Research Technical Report MSR-TR-98-14
-
C.J. Platt. Sequential Minimal Optimisation:AFastAlgorithm forTraining SupportVector Machines. Microsoft Research Technical Report MSR-TR-98-14, 1998.
-
(1998)
-
-
Platt, C.J.1
-
59
-
-
33847097928
-
The Mathematics of Learning: Dealing with Data
-
Presented at the International Conference on Neural Networks and Brain
-
T. Poggio and S. Smale. The Mathematics of Learning: Dealing with Data. Presented at the International Conference on Neural Networks and Brain, 2005.
-
(2005)
-
-
Poggio, T.1
Smale, S.2
-
60
-
-
0003699334
-
The Logic of Scientific Discovery
-
Routledge, New York, 2002. Originally published as "Logik der Forschung" in
-
K.R. Popper. The Logic of Scientific Discovery. Routledge, New York, 2002. Originally published as "Logik der Forschung" in 1935.
-
(1935)
-
-
Popper, K.R.1
-
61
-
-
0003766191
-
Data Preparation for Data Mining
-
Morgan Kaufmann, San Francisco
-
D. Pyle. Data Preparation for Data Mining. Morgan Kaufmann, San Francisco, 1999.
-
(1999)
-
-
Pyle, D.1
-
62
-
-
0003500248
-
C4.5: Programs for Machine Learning
-
Morgan Kaufmann, San Francisco
-
J.R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco, 1993.
-
(1993)
-
-
Quinlan, J.R.1
-
63
-
-
0003524204
-
A Mathematical View of Interior-Point Methods in Convex Optimization
-
SIAM, Philadelphia
-
J. Renegar. A Mathematical View of Interior-Point Methods in Convex Optimization. SIAM, Philadelphia, 2001.
-
(2001)
-
-
Renegar, J.1
-
64
-
-
0003846541
-
The Perceptron: A Perceiving and Recognizing Automaton
-
Cornell Aeronautical Laboratory Report, pages 85-460
-
F. Rosenblatt. The Perceptron: A Perceiving and Recognizing Automaton. Cornell Aeronautical Laboratory Report, pages 85-460, 1957.
-
(1957)
-
-
Rosenblatt, F.1
-
65
-
-
0003408420
-
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
MIT Press, Cambridge, MA
-
B. Schölkopf and A.J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, 2002.
-
(2002)
-
-
Schölkopf, B.1
Smola, A.J.2
-
66
-
-
84898941932
-
Support Vector Method for Novelty Detection
-
B. Schölkopf, R. Williamson, A.J. Smola, J. Shawe-Taylor, and J. Platt. Support Vector Method for Novelty Detection. Advances in Neural Information Processing Systems, 12:582-588, 2000.
-
(2000)
Advances in Neural Information Processing Systems
, vol.12
, pp. 582-588
-
-
Schölkopf, B.1
Williamson, R.2
Smola, A.J.3
Shawe-Taylor, J.4
Platt, J.5
-
67
-
-
14644392676
-
Kernel Methods for Pattern Analysis
-
Cambridge University Press, New York
-
J. Shawe-Taylor and N. Cristianini. Kernel Methods for Pattern Analysis. Cambridge University Press, New York, 2004.
-
(2004)
-
-
Shawe-Taylor, J.1
Cristianini, N.2
-
68
-
-
4043137356
-
A Tutorial on Support Vector Regression
-
A.J. Smola and B. Schölkopf. A Tutorial on Support Vector Regression. Statistics and Computing, 14(3):199-222, 2004.
-
(2004)
Statistics and Computing
, vol.14
, Issue.3
, pp. 199-222
-
-
Smola, A.J.1
Schölkopf, B.2
-
69
-
-
32844466040
-
Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
-
Springer-Verlag, New York
-
J.A. Snyman. Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer-Verlag, New York, 2005.
-
(2005)
-
-
Snyman, J.A.1
-
70
-
-
0942266514
-
Support Vector Data Description
-
D.M.J. Tax and R.P.W. Duin. Support Vector Data Description. Machine Learning, 54(1):45-66, 2004.
-
(2004)
Machine Learning
, vol.54
, Issue.1
, pp. 45-66
-
-
Tax, D.M.J.1
Duin, R.P.W.2
-
71
-
-
0003991806
-
Statistical Learning Theory
-
Wiley, New York
-
V.N. Vapnik. Statistical Learning Theory.Wiley, New York, 1998.
-
(1998)
-
-
Vapnik, V.N.1
-
72
-
-
0032594959
-
An Overview of Statistical Learning Theory
-
V.N. Vapnik. An Overview of Statistical Learning Theory. IEEE Transactions on Neural Networks, 10(5):988-999, 1999.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.5
, pp. 988-999
-
-
Vapnik, V.N.1
-
73
-
-
0003450542
-
The Nature of Statistical Learning Theory
-
Springer-Verlag, New York
-
V.N. Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag, New York, 2000.
-
(2000)
-
-
Vapnik, V.N.1
-
74
-
-
0003969585
-
Estimation of Dependences Based on Empirical Data
-
Springer-Verlag, New York
-
V.N. Vapnik. Estimation of Dependences Based on Empirical Data. Springer-Verlag, New York, 2006.
-
(2006)
-
-
Vapnik, V.N.1
-
75
-
-
0001024505
-
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
-
V.N. Vapnik and A.Y. Chervonenkis. On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities. Theory of Probability and Its Applications, 16:264, 1971.
-
(1971)
Theory of Probability and Its Applications
, vol.16
, pp. 264
-
-
Vapnik, V.N.1
Chervonenkis, A.Y.2
-
76
-
-
0003895851
-
Modern Applied Statistics with S
-
Springer-Verlag, New York
-
W.N. Venables and B.D. Ripley. Modern Applied Statistics with S. Springer-Verlag, New York, 2002.
-
(2002)
-
-
Venables, W.N.1
Ripley, B.D.2
-
77
-
-
0037961350
-
An Introduction to R
-
Network Theory
-
W.N. Venables and D.M. Smith. An Introduction to R. Network Theory, 2001.
-
(2001)
-
-
Venables, W.N.1
Smith, D.M.2
-
78
-
-
0003625523
-
Probability and Statistics for Engineers and Scientists
-
Prentice Hall, Upper Saddle River, NJ
-
R.E.Walpole, K.Ye, R.H. Myers, and S.L. Myers. Probability and Statistics for Engineers and Scientists. Prentice Hall, Upper Saddle River, NJ, 2002.
-
(2002)
-
-
Walpole, R.E.1
Ye, K.2
Myers, R.H.3
Myers, S.L.4
-
80
-
-
0003957032
-
Data Mining: Practical Machine Learning Tools and Techniques
-
Morgan Kaufmann, San Francisco
-
I.H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco, 2005.
-
(2005)
-
-
Witten, I.H.1
Frank, E.2
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