| Шығарылым |
Атауы |
Файл |
| Том 27, № 3 (2017) |
Application driven inverse type constraint satisfaction problems |
(Eng)
|
|
Zhuravlev Y., Aslanyan L., Ryazanov V., Sahakyan H.
|
| Том 27, № 3 (2017) |
Linear classifiers and selection of informative features |
(Eng)
|
|
Zhuravlev Y., Laptin Y., Vinogradov A., Zhurbenko N., Lykhovyd O., Berezovskyi O.
|
| Том 27, № 3 (2017) |
Approximation polynomial algorithm for the data editing and data cleaning problem |
(Eng)
|
|
Ageev A., Kel’manov A., Pyatkin A., Khamidullin S., Shenmaier V.
|
| Том 27, № 2 (2017) |
Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices |
(Eng)
|
|
Berikov V.
|
| Том 27, № 2 (2017) |
Conditions of the correctness for the algebra of estimates calculation algorithms with μ-operators over a set of binary-data recognition problems |
(Eng)
|
|
Dyusembaev A., Grishko M.
|
| Том 27, № 2 (2017) |
Approximation of experimental data by solving linear difference equations with constant coefficients (in particular, by exponentials and exponential cosines) |
(Eng)
|
|
Smirnov V., Kuznetsova A.
|
| Том 27, № 2 (2017) |
Combinatorial analysis of the solvability properties of the problems of recognition and completeness of algorithmic models. Part 2: Metric approach within the framework of the theory of classification of feature values |
(Eng)
|
|
Torshin I., Rudakov K.
|
| Том 27, № 1 (2017) |
On full regression decision trees |
(Eng)
|
|
Genrikhov I., Djukova E., Zhuravlev V.
|
| Том 27, № 1 (2017) |
Methods of search for stable solutions of some optimization problems in the theory of recognition by precedents |
(Eng)
|
|
Katerinochkina N.
|
| Том 27, № 1 (2017) |
Combinatorial analysis of the solvability properties of the problems of recognition and completeness of algorithmic models. Part 1: Factorization approach |
(Eng)
|
|
Torshin I., Rudakov K.
|
| Том 27, № 1 (2017) |
Analyzing model distances between expert propositions with differently ordered logical variables of knowledge base formulas and collective clustering |
(Eng)
|
|
Vikent’ev A.
|
| Том 26, № 4 (2016) |
Tight risk bounds for multi-class margin classifiers |
(Eng)
|
|
Maximov Y., Reshetova D.
|
| Том 26, № 4 (2016) |
Semi-supervised classification using multiple clusterings |
(Eng)
|
|
Yu G., Feng L., Yao G., Wang J.
|
| Том 26, № 2 (2016) |
Transformation of feature space based on Fisher’s linear discriminant |
(Eng)
|
|
Nemirko A.
|
| Том 26, № 2 (2016) |
Optimisation of multiclass supervised classification based on using output codes with error-correcting |
(Eng)
|
|
Ryazanov V.
|
| Том 26, № 2 (2016) |
Method of weak classifiers fuzzy boosting: Iterative learning of quasi-linear algorithmic composition |
(Eng)
|
|
Samorodov A.
|
| Том 26, № 2 (2016) |
On metric spaces arising during formalization of recognition and classification problems. Part 1: Properties of compactness |
(Eng)
|
|
Torshin I., Rudakov K.
|
| Том 26, № 2 (2016) |
A method of total variation to remove the mixed Poisson-Gaussian noise |
(Eng)
|
|
Thanh D., Dvoenko S.
|
| Том 26, № 1 (2016) |
Per-pixel estimating and color correction of photodetector array |
(Eng)
|
|
Popov S., Emel’yanov G., Klykov N.
|
| Нәтижелер 44 - 26/44 |
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