-
1
-
-
0036828526
-
Colonic polyps: Complementary role of computer-aided detection in CT colonography
-
R.M. Summers, A. Jerebko, M. Franaszek, J. Malley, and C.D. Johnson, Colonic Polyps: Complementary Role of Computer-aided Detection in CT Colonography. Radiology, 2002. 225:391-399.
-
(2002)
Radiology
, vol.225
, pp. 391-399
-
-
Summers, R.M.1
Jerebko, A.2
Franaszek, M.3
Malley, J.4
Johnson, C.D.5
-
2
-
-
0003684449
-
The elements of statistical learning: Data mining, inference and prediction
-
New York; Springer
-
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference and Prediction. New York; Springer; 2001.
-
(2001)
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
3
-
-
0003798635
-
Support vector machines, and other kernel-based learning methods
-
Cambridge University Press
-
N. Cristianini, and J. Shawe-Taylor, Support Vector Machines, and other Kernel-Based Learning Methods. Cambridge University Press; 2000.
-
(2000)
-
-
Cristianini, N.1
Shawe-Taylor, J.2
-
4
-
-
0003798627
-
Advances in kernel methods; support vector learning
-
B. Schölkopf, C. Burges, AJ Smola (eds); MIT Press
-
B. Schölkopf, C. Burges, AJ Smola (eds), Advances in Kernel Methods; Support Vector Learning. MIT Press; 1999.
-
(1999)
-
-
-
5
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi, and G. John, Wrappers for Feature Subset Selection. Artificial Intelligence, 1997. 97:273-324.
-
(1997)
Artificial Intelligence
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.2
-
7
-
-
84900362093
-
Feature subset selection by estimation of distribution algorithms
-
E. Cantu-Paz, Feature Subset Selection by Estimation of Distribution Algorithms.
-
-
-
Cantu-Paz, E.1
-
8
-
-
0344004828
-
Feature selection for optimized skin tumor recognition using genetic algorithms
-
H. Handels, Th.Rob, J.Kreusch, H.Wolff, and S. Popple, Feature Selection for Optimized Skin Tumor Recognition using Genetic Algorithms. Artificial Intelligence in Medicine, 1999. 16:283-297.
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, pp. 283-297
-
-
Handels, H.1
Rob, Th.2
Kreusch, J.3
Wolff, H.4
Popple, S.5
-
9
-
-
0026839971
-
Fast genetic selection of features for neural network classifiers
-
F. Brill, D. Brown, and W. Martin, Fast Genetic Selection of Features for Neural Network Classifiers. IEEE Transactions on Neural Networks, 1992. 3(2):324-328.
-
(1992)
IEEE Transactions on Neural Networks
, vol.3
, Issue.2
, pp. 324-328
-
-
Brill, F.1
Brown, D.2
Martin, W.3
-
12
-
-
0036832996
-
Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
-
S. Ho, C. Liu, and S. Liu, Design of an Optimal Nearest Neighbor Classifier using an Intelligent Genetic Algorithm. Pattern Recognition Letter, 2002. 23(13): 1495-1503.
-
(2002)
Pattern Recognition Letter
, vol.23
, Issue.13
, pp. 1495-1503
-
-
Ho, S.1
Liu, C.2
Liu, S.3
-
14
-
-
0036856769
-
Statistical analysis of the parameters of a neuro-genetic algorithm
-
P. Castillo-Valdivieso, J. Merelo, A. Prieto, I. Rojas, and G. Romero, Statistical Analysis of the Parameters of a Neuro-Genetic Algorithm. IEEE Transactions on Neural Networks, 2002. 13(6): 1374-1394.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.6
, pp. 1374-1394
-
-
Castillo-Valdivieso, P.1
Merelo, J.2
Prieto, A.3
Rojas, I.4
Romero, G.5
-
15
-
-
0036740201
-
Fast orthogonal forward selection algorithm for feature subset selection
-
K.Z. Mao, Fast Orthogonal Forward Selection Algorithm for Feature Subset Selection. IEEE Transactions on Neural Networks, 2002. 13(5): 1218-1224.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.5
, pp. 1218-1224
-
-
Mao, K.Z.1
-
16
-
-
0004169853
-
A comparison of some error estimates for neural network models
-
Technical Report, Stanford University Department of Statistics
-
R. Tibshirani, A comparison of some error estimates for neural network models. Technical Report, Stanford University Department of Statistics; 1995.
-
(1995)
-
-
Tibshirani, R.1
-
17
-
-
0000259511
-
Approximate statistical tests for comparing supervised classification learning algorithms
-
T.G. Dietterich, Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation, 10 (7), 1895-1924; 1998.
-
(1998)
Neural Computation
, vol.10
, Issue.7
, pp. 1895-1924
-
-
Dietterich, T.G.1
-
18
-
-
0031105969
-
Feature subset selection for classification of histological images
-
J. Jelonek, Jerzy S., Feature Subset Selection for Classification of Histological Images. Artificial Intelligence in Medicine, 1997. 9:22-239.
-
(1997)
Artificial Intelligence in Medicine
, vol.9
, pp. 22-239
-
-
Jelonek, J.1
Jerzy, S.2
-
19
-
-
0033863591
-
Feature selection and classifier performance in computer-aided diagnosis: The effect of finite sample size
-
B. Sahiner, H.P. Chan, N. Petrick, R.F. Wagner, and L. Hadjiiski, Feature Selection and Classifier Performance in Computer-Aided Diagnosis: The Effect of Finite Sample Size. Medical Physics, 2000. 27(7): 1509-1522.
-
(2000)
Medical Physics
, vol.27
, Issue.7
, pp. 1509-1522
-
-
Sahiner, B.1
Chan, H.P.2
Petrick, N.3
Wagner, R.F.4
Hadjiiski, L.5
-
20
-
-
0041640971
-
Multi-network classification scheme for detection of colonic polyps in CT colonography data sets
-
In press: Academic Radiology
-
A.K. Jerebko, JD Malley, M Franaszek, RM Summers, Multi-network classification scheme for detection of colonic polyps in CT colonography data sets. In press: Academic Radiology; 2003.
-
(2003)
-
-
Jerebko, A.K.1
Malley, J.D.2
Franaszek, M.3
Summers, R.M.4
|