Result 1 to 20 of 49 total
Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer. (English)
Soft Comput. 15, No. 6, 1137-1144 (2011).
1
Protein classification with extended-sequence coding by sliding window (English)
IEEE/ACM Trans. Comput. Biology Bioinform. 8, No. 6, 1721-1726 (2011).
2
Gradient descent decomposition for multi-objective learning (English)
IDEAL, 377-384 (2011).
3
Multi-objective semi-supervised feature selection and model selection based on Pearson’s correlation coefficient (English)
CIARP, 509-516 (2010).
4
New multi-objective algorithms for neural network training applied to genomic classification data (English)
Foundations of Computational Intelligence (1), 63-82 (2009).
5
Artificial neural networks learning in ROC space (English)
IJCCI, 484-489 (2009).
6
Hybrid classification algorithms based on boosting and support vector machines. (English)
Kybernetes 37, No. 9-10, 1469-1491 (2008).
7
Hybrid classification algorithms based on boosting and support vector machines (English)
Kybernetes 37, No. 9-10, 1469-1491 (2008).
8
Downsizing multigenic predictors of the response to preoperative chemotherapy in breast cancer (English)
KES (2), 157-164 (2008).
9
A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy (English)
ESANN, 71-76 (2008).
10
Optimization of the area under the ROC curve (English)
SBRN, 141-146 (2008).
11
A multi-objective learning algorithm for RBF neural network (English)
SBRN, 9-14 (2008).
12
Evolving an ensemble of neural networks using artificial immune systems (English)
SEAL, 121-130 (2008).
13
Bayesian classifiers for predicting the outcome of breast cancer preoperative chemotherapy (English)
ANNPR, 263-266 (2008).
14
Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. (English)
Neurocomputing 70, No. 7-9, 1342-1347 (2007).
15
RRS+LS-SVM: a new strategy for “a priori” sample selection. (English)
Neural Comput. Appl. 16, No. 3, 227-234 (2007).
16
The usage of golden section in calculating the efficient solution in artificial neural networks training by multi-objective optimization (English)
ICANN (1), 289-298 (2007).
17
Complexity bounds of radial basis functions and multi-objective learning (English)
ESANN, 73-78 (2007).
18
A new decision strategy in multi-objective training of the artificial neural networks (English)
ESANN, 555-560 (2007).
19
A-LSSVM: an adaline based iterative sparse LS-SVM classifier (English)
ESANN, 331-336 (2007).
20
Result 1 to 20 of 49 total
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