-
1
-
-
33750052587
-
What should be expected from feature selection in small-sample settings
-
19
-
Sima C, Dougherty ER (2006) What should be expected from feature selection in small-sample settings. Bioinformatics 22(19):2430-2436
-
(2006)
Bioinformatics
, vol.22
, pp. 2430-2436
-
-
Sima, C.1
Dougherty, E.R.2
-
3
-
-
36348943047
-
Fast feature selection from microarray expression data via multiplicative large margin algorithms
-
Thrun S, Saul L, Schölkopf B (eds) MIT Press, Cambridge
-
Gentile C (2003) Fast feature selection from microarray expression data via multiplicative large margin algorithms. In: Thrun S, Saul L, Schölkopf B (eds) Advances in Neural Information Processing Systems 16. MIT Press, Cambridge
-
(2003)
Advances in Neural Information Processing Systems
, vol.16
-
-
Gentile, C.1
-
4
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157-1182
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
5
-
-
33749354173
-
Classifier-independent feature selection on the basis of divergence criterion
-
2
-
Abe N, Kude M, Toyama J, Shimbo M (2006) Classifier-independent feature selection on the basis of divergence criterion. Pattern Anal Appl 9(2):127-137
-
(2006)
Pattern Anal Appl
, vol.9
, pp. 127-137
-
-
Abe, N.1
Kude, M.2
Toyama, J.3
Shimbo, M.4
-
6
-
-
0031334221
-
Selection of relevant features and examples in machine learning
-
(1-2)
-
Blum AL, Langley P (1997) Selection of relevant features and examples in machine learning. Artif Intell 97(1-2):245-271
-
(1997)
Artif Intell
, vol.97
, pp. 245-271
-
-
Blum, A.L.1
Langley, P.2
-
8
-
-
33846663504
-
Pairwise feature evaluation for constructing reduced representations
-
1
-
Harol A, Lai C, Pekalska E, Duin RPW (2007) Pairwise feature evaluation for constructing reduced representations. Pattern Anal Appl 10(1):55-68
-
(2007)
Pattern Anal Appl
, vol.10
, pp. 55-68
-
-
Harol, A.1
Lai, C.2
Pekalska, E.3
Duin, R.P.W.4
-
10
-
-
24344458137
-
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
-
8
-
Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226-1238
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
11
-
-
85032752338
-
Applications of entropic spanning graphs
-
5
-
Hero AO, Michel O (2002) Applications of entropic spanning graphs. IEEE Signal Process Mag 19(5):85-95
-
(2002)
IEEE Signal Process Mag
, vol.19
, pp. 85-95
-
-
Hero, A.O.1
Michel, O.2
-
12
-
-
0347585673
-
Renyi extrapolation of Shannon entropy
-
3
-
Zyczkowski K (2003) Renyi extrapolation of Shannon entropy. Open Syst Inf Dyn 10(3):298-310
-
(2003)
Open Syst Inf Dyn
, vol.10
, pp. 298-310
-
-
Zyczkowski, K.1
-
13
-
-
34250822407
-
Estimation of the entropy and information of absolutely continuous random variables
-
1
-
Mokkadem A (1989) Estimation of the entropy and information of absolutely continuous random variables. IEEE Trans Inf Theory 35(1):193-196
-
(1989)
IEEE Trans Inf Theory
, vol.35
, pp. 193-196
-
-
Mokkadem, A.1
-
14
-
-
1942450610
-
Extraction by non-parametric mutual information maximization
-
Torkkola K Feature (2003) Extraction by non-parametric mutual information maximization. J Mach Learn Res 3:1415-1438
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1415-1438
-
-
Torkkola, K.F.1
-
16
-
-
0041877169
-
Estimation of entropy and mutual information
-
Paninski I (2003) Estimation of entropy and mutual information. Neural Comput 15(1):
-
(2003)
Neural Comput
, vol.15
, Issue.1
-
-
Paninski, I.1
-
17
-
-
50549092044
-
Estimating function of probability distribution from a finite set of samples
-
Santa Fe Institute Report TR-93-07-046
-
Wolpert D, Wolf D (1995) Estimating function of probability distribution from a finite set of samples. Los Alamos National Laboratory Report LA-UR-92-4369, Santa Fe Institute Report TR-93-07-046
-
(1995)
Los Alamos National Laboratory Report LA-UR-92-4369
-
-
Wolpert, D.1
Wolf, D.2
-
20
-
-
23844445208
-
Assessment of artery dilation by using image registration based on spatial features
-
April 2005
-
Oubel E, Neemuchwala H, Hero A, Boisrobert L, Laclaustra M, Frangi AF (2005) Assessment of artery dilation by using image registration based on spatial features. In: Proceedings of SPIE medical imaging, April 2005, vol 5747, pp 1283-1291
-
(2005)
Proceedings of SPIE Medical Imaging
, vol.5747
, pp. 1283-1291
-
-
Oubel, E.1
Neemuchwala, H.2
Hero, A.3
Boisrobert, L.4
Laclaustra, M.5
Frangi, A.F.6
-
21
-
-
0029276335
-
A randomized linear-time algorithm to find minimum spanning trees
-
Karger DR, Klein PN, Tarjan RE (1995) A randomized linear-time algorithm to find minimum spanning trees. J ACM 42(2): 321-328
-
(1995)
J ACM
, vol.42
, Issue.2
, pp. 321-328
-
-
Karger, D.R.1
Klein, P.N.2
Tarjan, R.E.3
-
23
-
-
0033184661
-
Asymptotic theory of greedy aproximations to minnimal k-point random graphs
-
6
-
Hero AO, Michel O (1999) Asymptotic theory of greedy aproximations to minnimal k-point random graphs. IEEE Trans Inf Theory 45(6):1921-1939
-
(1999)
IEEE Trans Inf Theory
, vol.45
, pp. 1921-1939
-
-
Hero, A.O.1
Michel, O.2
-
24
-
-
0025460006
-
An asymptotic determination of the minimum spanning tree and minimum matching constants in geometrical probability
-
1
-
Bertsimas DJ, Van Ryzin G (1990) An asymptotic determination of the minimum spanning tree and minimum matching constants in geometrical probability. Oper Res Lett 9(1):223-231
-
(1990)
Oper Res Lett
, vol.9
, pp. 223-231
-
-
Bertsimas, D.J.1
Van Ryzin, G.2
-
25
-
-
34047195663
-
EBEM an entropy-based em algorithm for Gaussian mixture models
-
Peñalver A, Escolano F, Sáez JM (2006) EBEM an entropy-based EM algorithm for Gaussian mixture models. ICPR 451-455
-
(2006)
ICPR
, pp. 451-455
-
-
Peñalver, A.1
Escolano, F.2
Sáez, J.M.3
-
26
-
-
0003602590
-
Object recognition in man, monkey, and machine
-
MIT Press, Massachusetts
-
Tarr MJ, Bülthoff HH (1999) Object recognition in man, monkey, and machine. Cognition Special Issues, MIT Press, Massachusetts
-
(1999)
Cognition Special Issues
-
-
Tarr, M.J.1
Bülthoff, H.H.2
-
27
-
-
0027372185
-
Visual pattern recognition in Drosophila involves retinotopic matching
-
6448
-
Dill M, Wolf R, Heisenberg M (1993) Visual pattern recognition in Drosophila involves retinotopic matching. Nature 365(6448):639-644
-
(1993)
Nature
, vol.365
, pp. 639-644
-
-
Dill, M.1
Wolf, R.2
Heisenberg, M.3
-
28
-
-
9644297209
-
Low spatial frequencies are suppressively masked across spatial scale, orientation, field position, and eye of origin
-
Meese TS, Hess RF (2004) Low spatial frequencies are suppressively masked across spatial scale, orientation, field position, and eye of origin. J Vis 4(10):843-859
-
(2004)
J Vis
, vol.4
, Issue.10
, pp. 843-859
-
-
Meese, T.S.1
Hess, R.F.2
-
29
-
-
17144412046
-
-
Technical report, Robotics Institute, Carnegie Mellon University, March, CMU-RI-TR-02-09
-
Carmichael O, Mahamud S, Hebert M (2002) Discriminant filters for object recognition. Technical report, Robotics Institute, Carnegie Mellon University, March, CMU-RI-TR-02-09
-
(2002)
Discriminant Filters for Object Recognition
-
-
Carmichael, O.1
Mahamud, S.2
Hebert, M.3
-
30
-
-
25144503000
-
Object recognition and pose estimation using color cooccurrence histograms and geometric modeling
-
Ekvall S, Kragic D, Hoffmann F (2005) Object recognition and pose estimation using color cooccurrence histograms and geometric modeling. Image Vis Comput 23:943-955
-
(2005)
Image Vis Comput
, vol.23
, pp. 943-955
-
-
Ekvall, S.1
Kragic, D.2
Hoffmann, F.3
-
32
-
-
0037494667
-
Gene selection in microarray data: The elephant, the blind men and our algorithms
-
Stolovitzky G (2003) Gene selection in microarray data: the elephant, the blind men and our algorithms. Curr Opin Struct Biol 13(3):370-376
-
(2003)
Curr Opin Struct Biol
, vol.13
, Issue.3
, pp. 370-376
-
-
Stolovitzky, G.1
-
33
-
-
25444528447
-
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
-
Jirapech-Umpai T, Aitken S (2005) Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes. BMC Bioinformatics 6:148
-
(2005)
BMC Bioinformatics
, vol.6
, pp. 148
-
-
Jirapech-Umpai, T.1
Aitken, S.2
-
34
-
-
33748806803
-
Individualized markers optimize class prediction of microarray data
-
Pavlidis P, Poirazi P (2006) Individualized markers optimize class prediction of microarray data. BMC Bioinformatics 7:345
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 345
-
-
Pavlidis, P.1
Poirazi, P.2
-
35
-
-
30644464444
-
Gene selection and classification of microarray data using random forest
-
doi: 10.1186/1471-2105-7-3
-
Díaz-Uriate R, Alvarez de Andrés S (2006) Gene selection and classification of microarray data using random forest. BMC Bioinformatics 7(1):3. doi: 10.1186/1471-2105-7-3
-
(2006)
BMC Bioinformatics
, vol.7
, Issue.1
, pp. 3
-
-
Díaz-Uriate, R.1
Alvarez De Andrés, S.2
-
36
-
-
33748416594
-
Incremental wrapper-based gene selection from microarray data for cancer classification
-
12
-
Ruiz R, Riquelme JC, Aguilar-Ruiz JS (2006) Incremental wrapper-based gene selection from microarray data for cancer classification. Pattern Recognit 39(12):2383-2392
-
(2006)
Pattern Recognit
, vol.39
, pp. 2383-2392
-
-
Ruiz, R.1
Riquelme, J.C.2
Aguilar-Ruiz, J.S.3
-
37
-
-
19044391072
-
Gene expression correlates of clinical prostate cancer behavior
-
doi: 10.1016/s1535-6108(02)00030-2
-
Singh D, Febbo PG et al. (2002) Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1(2):203-209. doi: 10.1016/s1535-6108(02) 00030-2
-
(2002)
Cancer Cell
, vol.1
, Issue.2
, pp. 203-209
-
-
Singh, D.1
Febbo, P.G.2
|