-
2
-
-
67349129358
-
Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks
-
Van Dijck, G.; Van Vaerenbergh, J.; Van Hulle, M.M. Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks. Artif. Intell. Med. 2009, 46, 233-249.
-
(2009)
Artif. Intell. Med.
, vol.46
, pp. 233-249
-
-
Van Dijck, G.1
Van Vaerenbergh, J.2
Van Hulle, M.M.3
-
3
-
-
0003922190
-
-
second ed.; John Wiley & Sons: New York, NY, USA
-
Duda, R.O.; Hart, P.E.; Stork, D.G. Pattern Classification, second ed.; John Wiley & Sons: New York, NY, USA, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
4
-
-
0000727041
-
characteristic selection problem in recognition systems
-
Lewis II, P.M. The characteristic selection problem in recognition systems. IEEE Trans. Inf. Theory 1962, 8, 171-178.
-
(1962)
IEEE Trans. Inf. Theory
, vol.8
, pp. 171-178
-
-
Lewis, I.I.1
The, P.M.2
-
5
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon, I.; Elisseeff, A. An introduction to variable and feature selection. J. Mach. Learn. Res. 2003, 3, 1157-1182.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
6
-
-
18744400819
-
Feature selection with conditional mutual information maximin in text categorization
-
Evans, D.A.; Gravano, L.; Herzog, O.; Zhai, C.; Ronthaler, M., Eds.; ACM Press: New York, NY, USA
-
Wang, G.; Lochovsky, F.H.; Yang, Q. Feature selection with conditional mutual information maximin in text categorization. Proceedings of the 13th ACM International Conference on Information and Knowledge Management (CIKM'04); Evans, D.A.; Gravano, L.; Herzog, O.; Zhai, C.; Ronthaler, M., Eds.; ACM Press: New York, NY, USA, 2004; pp. 342-349.
-
(2004)
Proceedings of the 13th ACM International Conference on Information and Knowledge Management (CIKM'04)
, pp. 342-349
-
-
Wang, G.1
Lochovsky, F.H.2
Yang, Q.3
-
8
-
-
27144471473
-
Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis
-
Huang, D.; Chow, T.W.S.; Wa, E.W.M.; Li, J. Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis. IEEE Trans. Circuits Syst. I-Regul. Pap. 2005, 52, 1909-1918.
-
(2005)
IEEE Trans. Circuits Syst. I-Regul. Pap.
, vol.52
, pp. 1909-1918
-
-
Huang, D.1
Chow, T.W.S.2
Wa, E.W.M.3
Li, J.4
-
9
-
-
33645951954
-
Computer-automated design of multifont print recognition logic
-
Kamentsky, L.A.; Liu, C.N. Computer-automated design of multifont print recognition logic. IBM J. Res. Dev. 1963, 7, 2-13.
-
(1963)
IBM J. Res. Dev.
, vol.7
, pp. 2-13
-
-
Kamentsky, L.A.1
Liu, C.N.2
-
10
-
-
77958193287
-
A programmed algorithm for designing multifont character recognition logics
-
Liu, C.N. A programmed algorithm for designing multifont character recognition logics. IEEE Trans. Electron. 1964, EC-13, 586-593.
-
(1964)
IEEE Trans. Electron.
, vol.EC-13
, pp. 586-593
-
-
Liu, C.N.1
-
11
-
-
0028468293
-
Using mutual information for selecting features in supervised neural net learning
-
Battiti, R. Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Netw. 1994, 5, 537-550.
-
(1994)
IEEE Trans. Neural Netw.
, vol.5
, pp. 537-550
-
-
Battiti, R.1
-
12
-
-
84889281816
-
-
second ed.; John Wiley & Sons: Hoboken, NJ, USA
-
Cover, T.M.; Thomas, J.A. Elements of Information Theory, second ed.; John Wiley & Sons: Hoboken, NJ, USA, 2006.
-
(2006)
Elements of Information Theory
-
-
Cover, T.M.1
Thomas, J.A.2
-
13
-
-
0036964229
-
A constructive algorithm for feedforward neural networks with incremental training
-
Liu, D.; Chang, T.; Zhang, Y. A constructive algorithm for feedforward neural networks with incremental training. IEEE Trans. Circuits Syst. I-Regul. Pap. 2002, 49, 1876-1879.
-
(2002)
IEEE Trans. Circuits Syst. I-Regul. Pap.
, vol.49
, pp. 1876-1879
-
-
Liu, D.1
Chang, T.2
Zhang, Y.3
-
14
-
-
84937351341
-
Multivariate information transmission
-
McGill, W.J. Multivariate information transmission. IEEE Trans. Inf. Theory 1954, 4, 93-111.
-
(1954)
IEEE Trans. Inf. Theory
, vol.4
, pp. 93-111
-
-
Mcgill, W.J.1
-
15
-
-
0034271164
-
Physical nature of higher-order mutual information: Intrinsic correlations and frustration
-
Matsuda, H. Physical nature of higher-order mutual information: Intrinsic correlations and frustration. Phys. Rev. E 2000, 62, 3096-3102.
-
(2000)
Phys. Rev. E
, vol.62
, pp. 3096-3102
-
-
Matsuda, H.1
-
16
-
-
77958173248
-
Information theoretic analysis of connection structure from spike trains
-
Hanson, S.J.; Cowan, J.D.; Giles, C.L., Eds.; Morgan Kaufmann Publishers Inc.: San Francisco, CA, USA
-
Shiono, S.; Yamada, S.; Nakashima, M.; Matsumoto, K., Information theoretic analysis of connection structure from spike trains. In Advances in Neural Information Processing Systems 5; Hanson, S.J.; Cowan, J.D.; Giles, C.L., Eds.; Morgan Kaufmann Publishers Inc.: San Francisco, CA, USA, 1993; pp. 515-522.
-
(1993)
Advances in Neural Information Processing Systems
, vol.5
, pp. 515-522
-
-
Shiono, S.1
Yamada, S.2
Nakashima, M.3
Matsumoto, K.4
-
17
-
-
77956540045
-
Causal filter selection in microarray data
-
Fürnkranz, J.; Joachims, T., Eds.; Omnipress
-
Bontempi, G.; Meyer, P.E., Causal filter selection in microarray data. In Proceedings of the 27th International Conference on Machine Learning; Fürnkranz, J.; Joachims, T., Eds.; Omnipress, 2010; pp. 95-102.
-
(2010)
Proceedings of the 27th International Conference on Machine Learning
, pp. 95-102
-
-
Bontempi, G.1
Meyer, P.E.2
-
21
-
-
38049153421
-
Speeding up feature subset selection through mutual information relevance filtering
-
Kok, J.; Koronacki, J.; Lopez de Mantaras, R.; Matwin, S.; Mladenic, D.; Skowron, A., Eds.; Springer Berlin/Heidelberg, Lecture Notes in Computer Science
-
Van Dijck, G.; Van Hulle, M.M. Speeding up feature subset selection through mutual information relevance filtering. In Knowledge Discovery in Databases: PKDD 2007; Kok, J.; Koronacki, J.; Lopez de Mantaras, R.; Matwin, S.; Mladenic, D.; Skowron, A., Eds.; Springer Berlin/Heidelberg, 2007; Vol. 4702, Lecture Notes in Computer Science, pp. 277-287.
-
(2007)
Knowledge Discovery in Databases: PKDD 2007
, vol.4702
, pp. 277-287
-
-
Van Dijck, G.1
Van Hulle, M.M.2
-
23
-
-
0036127473
-
Input feature selection for classification problems
-
Kwak, N.; Choi, C.H. Input feature selection for classification problems. IEEE Trans. Neural Netw. 2002, 13, 143-159.
-
(2002)
IEEE Trans. Neural Netw.
, vol.13
, pp. 143-159
-
-
Kwak, N.1
Choi, C.H.2
-
24
-
-
24344458137
-
Feature selection based on mutual information: Criteria of max-dependency, max-relevance and min-redundancy
-
Peng, H.; Long, F.; Ding, C. Feature selection based on mutual information: Criteria of max-dependency, max-relevance and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 2005, 27, 1226-1238.
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
25
-
-
60849097547
-
Normalized mutual information feature selection
-
Estévez, P.A.; Tesmer, M.; Perez, C.A.; Zurada, J.M. Normalized mutual information feature selection. IEEE Trans. Neural Netw. 2009, 20, 189-201.
-
(2009)
IEEE Trans. Neural Netw
, vol.20
, pp. 189-201
-
-
Estévez, P.A.1
Tesmer, M.2
Perez, C.A.3
Zurada, J.M.4
-
26
-
-
33645690579
-
Fast binary feature selection with conditional mutual information
-
Fleuret, F. Fast binary feature selection with conditional mutual information. J. Mach. Learn. Res. 2004, 5, 1531-1555.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1531-1555
-
-
Fleuret, F.1
-
27
-
-
0036933407
-
Input feature selection by mutual information based on Parzen window
-
Kwak, N.; Choi, C.H. Input feature selection by mutual information based on Parzen window. IEEE Trans. Pattern Anal. Mach. Intell. 2002, 24, 1667-1671.
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, pp. 1667-1671
-
-
Kwak, N.1
Choi, C.H.2
-
28
-
-
50549092368
-
Feature selection, mutual information, and the classification of high-dimensional patterns: Applications to image classification and microarray data analysis
-
Bonev, B.; Escolano, F.; Cazorla, M. Feature selection, mutual information, and the classification of high-dimensional patterns: applications to image classification and microarray data analysis. Pattern Anal. Appl. 2008, 11, 309-319.
-
(2008)
Pattern Anal. Appl.
, vol.11
, pp. 309-319
-
-
Bonev, B.1
Escolano, F.2
Cazorla, M.3
-
29
-
-
33847674996
-
Resampling methods for parameter-free and robust feature selection with mutual information
-
François, D.; Rossi, F.; Wertz, V.; Verleysen, M. Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing 2007, 70, 1276-1288.
-
(2007)
Neurocomputing
, vol.70
, pp. 1276-1288
-
-
François, D.1
Rossi, F.2
Wertz, V.3
Verleysen, M.4
-
30
-
-
84915005479
-
Probability of error, equivocation, and the Chernoff bound
-
Hellman, M.E.; Raviv, J. Probability of error, equivocation, and the Chernoff bound. IEEE Trans. Inf. Theory 1970, IT-16, 368-372.
-
(1970)
IEEE Trans. Inf. Theory
, vol.IT-16
, pp. 368-372
-
-
Hellman, M.E.1
Raviv, J.2
-
31
-
-
0003007148
-
The problem of character recognition from the point of view of mathematical statistics
-
Kovalevsky, V.A., Ed.; Spartan: New York, NY, USA
-
Kovalevsky, V.A. The problem of character recognition from the point of view of mathematical statistics. In Character Readers and Pattern Recognition; Kovalevsky, V.A., Ed.; Spartan: New York, NY, USA, 1968.
-
(1968)
Character Readers and Pattern Recognition
-
-
Kovalevsky, V.A.1
-
33
-
-
0028273691
-
Relations between entropy and error probability
-
Feder, M.; Merhav, N. Relations between entropy and error probability. IEEE Trans. Inf. Theory 1994, 40, 259-266.
-
(1994)
IEEE Trans. Inf. Theory
, vol.40
, pp. 259-266
-
-
Feder, M.1
Merhav, N.2
-
34
-
-
85008014525
-
Comment on Relations between entropy and error probability
-
Golić, J.D. Comment on "Relations between entropy and error probability". IEEE Trans. Inf. Theory 1999, 45, 372-372.
-
(1999)
IEEE Trans. Inf. Theory
, vol.45
, pp. 372-372
-
-
Golić, J.D.1
|