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You searched for +publisher:"Vilnius University" +contributor:("Navakauskas, Dalius"). Showing records 1 – 20 of 20 total matches.

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Vilnius University

1. Ringienė, Laura. Hibridinis neuroninis tinklas daugiamačiams duomenims vizualizuoti.

Degree: Dissertation, Informatics Engineering, 2014, Vilnius University

Šio darbo tyrimų sritis yra duomenų tyryba remiantis daugiamačių duomenų vizualia analize. Tai leidžia tyrėjui betarpiškai dalyvauti duomenų analizės procese, geriau pažinti sudėtingus duomenis ir… (more)

Subjects/Keywords: Neuroniniai tinklai; Daugiamačių duomenų vizualizavimas; Radialinės bazinės funkcijos; REGM tinklas; Neural network; Multidimensional data visualization; Radial basis function; Network REGM

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APA (6th Edition):

Ringienė, L. (2014). Hibridinis neuroninis tinklas daugiamačiams duomenims vizualizuoti. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140105-52586 ;

Chicago Manual of Style (16th Edition):

Ringienė, Laura. “Hibridinis neuroninis tinklas daugiamačiams duomenims vizualizuoti.” 2014. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140105-52586 ;.

MLA Handbook (7th Edition):

Ringienė, Laura. “Hibridinis neuroninis tinklas daugiamačiams duomenims vizualizuoti.” 2014. Web. 27 Nov 2020.

Vancouver:

Ringienė L. Hibridinis neuroninis tinklas daugiamačiams duomenims vizualizuoti. [Internet] [Doctoral dissertation]. Vilnius University; 2014. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140105-52586 ;.

Council of Science Editors:

Ringienė L. Hibridinis neuroninis tinklas daugiamačiams duomenims vizualizuoti. [Doctoral Dissertation]. Vilnius University; 2014. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140105-52586 ;


Vilnius University

2. Molytė, Alma. Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling.

Degree: PhD, Informatics, 2011, Vilnius University

Often there is a need to establish and understand the structure of multidimensional data: their clusters, outliers, similarity and dissimilarity. One of solution ways is… (more)

Subjects/Keywords: Neural gas; Self-organizing map; Multidimensional scaling; Visualization; Vector quantization; Neuroninės dujos; Saviorganizuojantys neuroniniai tinklai; Vektorių kvantavimas; Vizualizavimas; Daugiamatės skalės

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APA (6th Edition):

Molytė, Alma. (2011). Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133937-99171 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Molytė, Alma. “Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling.” 2011. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133937-99171 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Molytė, Alma. “Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling.” 2011. Web. 27 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Molytė, Alma. Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling. [Internet] [Doctoral dissertation]. Vilnius University; 2011. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133937-99171 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Molytė, Alma. Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling. [Doctoral Dissertation]. Vilnius University; 2011. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133937-99171 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Vilnius University

3. Molytė, Alma. Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė.

Degree: Dissertation, Informatics, 2011, Vilnius University

Dažnai iškyla būtinybė nustatyti ir giliau pažinti daugiamačių duomenų struktūrą: susidariusius klasterius, itin išsiskiriančius objektus, objektų tarpusavio panašumą ir skirtingumą. Vienas iš sprendimų būdų –… (more)

Subjects/Keywords: Neuroninės dujos; Saviorganizuojantys neuroniniai tinklai; Vektorių kvantavimas; Daugiamatės skalės; Vizualizavimas; Neural gas; Self-organizing map; Vector quantization; Multidimensional scaling; Visualization

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APA (6th Edition):

Molytė, Alma. (2011). Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133947-96945 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Molytė, Alma. “Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė.” 2011. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133947-96945 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Molytė, Alma. “Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė.” 2011. Web. 27 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Molytė, Alma. Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė. [Internet] [Doctoral dissertation]. Vilnius University; 2011. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133947-96945 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Molytė, Alma. Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė. [Doctoral Dissertation]. Vilnius University; 2011. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133947-96945 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Vilnius University

4. Petrauskas, Karolis. Kompiuterinis sudėtinės geometrijos biojutiklių modeliavimas.

Degree: Dissertation, Informatics, 2011, Vilnius University

Biojutikliai yra įrenginiai, skirti medžiagoms aptikti bei jų koncentracijoms matuoti. Siekiant sumažinti biojutiklių gamybos kaštus yra pasitelkiamas matematinis biojutikliuose vykstančių procesų modeliavimas. Disertacijoje nagrinėjami matematiniai… (more)

Subjects/Keywords: Biojutiklis; Skaitinis modeliavimas; Sudėtinė geometrija; Modeliavimo programinė įranga; Biosensor; Numerical simulation; Complex geometry; Simulation software

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APA (6th Edition):

Petrauskas, K. (2011). Kompiuterinis sudėtinės geometrijos biojutiklių modeliavimas. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105902-81823 ;

Chicago Manual of Style (16th Edition):

Petrauskas, Karolis. “Kompiuterinis sudėtinės geometrijos biojutiklių modeliavimas.” 2011. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105902-81823 ;.

MLA Handbook (7th Edition):

Petrauskas, Karolis. “Kompiuterinis sudėtinės geometrijos biojutiklių modeliavimas.” 2011. Web. 27 Nov 2020.

Vancouver:

Petrauskas K. Kompiuterinis sudėtinės geometrijos biojutiklių modeliavimas. [Internet] [Doctoral dissertation]. Vilnius University; 2011. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105902-81823 ;.

Council of Science Editors:

Petrauskas K. Kompiuterinis sudėtinės geometrijos biojutiklių modeliavimas. [Doctoral Dissertation]. Vilnius University; 2011. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105902-81823 ;


Vilnius University

5. Petrauskas, Karolis. Computational Modelling of Biosensors of Complex Geometry.

Degree: PhD, Informatics, 2011, Vilnius University

Biosensors are analytical devices mainly used to detect analytes and measure their concentrations. Mathematical modeling is widely used for optimizing and analyzing an operation of… (more)

Subjects/Keywords: Biosensor; Numerical simulation; Complex geometry; Simulation software; Biojutiklis; Skaitinis modeliavimas; Sudėtinė geometrija; Modeliavimo programinė įranga

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APA (6th Edition):

Petrauskas, K. (2011). Computational Modelling of Biosensors of Complex Geometry. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105911-89480 ;

Chicago Manual of Style (16th Edition):

Petrauskas, Karolis. “Computational Modelling of Biosensors of Complex Geometry.” 2011. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105911-89480 ;.

MLA Handbook (7th Edition):

Petrauskas, Karolis. “Computational Modelling of Biosensors of Complex Geometry.” 2011. Web. 27 Nov 2020.

Vancouver:

Petrauskas K. Computational Modelling of Biosensors of Complex Geometry. [Internet] [Doctoral dissertation]. Vilnius University; 2011. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105911-89480 ;.

Council of Science Editors:

Petrauskas K. Computational Modelling of Biosensors of Complex Geometry. [Doctoral Dissertation]. Vilnius University; 2011. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110701_105911-89480 ;


Vilnius University

6. Ringienė, Laura. Hybrid neural network for multidimensional data visualization.

Degree: PhD, Informatics Engineering, 2014, Vilnius University

The area of research is data mining based on multidimensional data visual analysis. This allows researcher to participate in the process of data analysis directly,… (more)

Subjects/Keywords: Neural network; Multidimensional data visualization; Radial basis function; Network REGM; Neuroniniai tinklai; Daugiamačių duomenų vizualizavimas; Radialinės bazinės funkcijos; REGM tinklas

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APA (6th Edition):

Ringienė, L. (2014). Hybrid neural network for multidimensional data visualization. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140117-42267 ;

Chicago Manual of Style (16th Edition):

Ringienė, Laura. “Hybrid neural network for multidimensional data visualization.” 2014. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140117-42267 ;.

MLA Handbook (7th Edition):

Ringienė, Laura. “Hybrid neural network for multidimensional data visualization.” 2014. Web. 27 Nov 2020.

Vancouver:

Ringienė L. Hybrid neural network for multidimensional data visualization. [Internet] [Doctoral dissertation]. Vilnius University; 2014. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140117-42267 ;.

Council of Science Editors:

Ringienė L. Hybrid neural network for multidimensional data visualization. [Doctoral Dissertation]. Vilnius University; 2014. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2014~D_20140912_140117-42267 ;


Vilnius University

7. Gaidamauskaitė, Evelina. Computational Modeling of Complex Reactions Kinetics in Biosensors.

Degree: Dissertation, Informatics, 2011, Vilnius University

Biosensors are analytical devices made up of a combination of a biological entity, usually an enzyme, that recognizes a specific analyte (substrate) and the transducer… (more)

Subjects/Keywords: Computational modeling; Biosensors; Complex reactions; Kompiuterinis modeliavimas; Biojutikliai; Daugiapakopės reakcijos

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APA (6th Edition):

Gaidamauskaitė, E. (2011). Computational Modeling of Complex Reactions Kinetics in Biosensors. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102523-68545 ;

Chicago Manual of Style (16th Edition):

Gaidamauskaitė, Evelina. “Computational Modeling of Complex Reactions Kinetics in Biosensors.” 2011. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102523-68545 ;.

MLA Handbook (7th Edition):

Gaidamauskaitė, Evelina. “Computational Modeling of Complex Reactions Kinetics in Biosensors.” 2011. Web. 27 Nov 2020.

Vancouver:

Gaidamauskaitė E. Computational Modeling of Complex Reactions Kinetics in Biosensors. [Internet] [Doctoral dissertation]. Vilnius University; 2011. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102523-68545 ;.

Council of Science Editors:

Gaidamauskaitė E. Computational Modeling of Complex Reactions Kinetics in Biosensors. [Doctoral Dissertation]. Vilnius University; 2011. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102523-68545 ;


Vilnius University

8. Gaidamauskaitė, Evelina. Kompiuterinis daugiapakopių reakcijų kinetikos biojutikliuose modeliavimas.

Degree: PhD, Informatics, 2011, Vilnius University

Biojutikliai yra analitiniai įtaisai sudaryti iš biologiškai aktyvios bei selektyviai atpažįstančios substratą medžiagos, dažniausiai fermento, ir keitiklio formuojančio makroskopinį fizinį signalą. Naujų įtaisų kūrimui būtini… (more)

Subjects/Keywords: Kompiuterinis modeliavimas; Biojutikliai; Daugiapakopės reakcijos; Computational modeling; Biosensors; Complex reactions

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APA (6th Edition):

Gaidamauskaitė, E. (2011). Kompiuterinis daugiapakopių reakcijų kinetikos biojutikliuose modeliavimas. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102635-72506 ;

Chicago Manual of Style (16th Edition):

Gaidamauskaitė, Evelina. “Kompiuterinis daugiapakopių reakcijų kinetikos biojutikliuose modeliavimas.” 2011. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102635-72506 ;.

MLA Handbook (7th Edition):

Gaidamauskaitė, Evelina. “Kompiuterinis daugiapakopių reakcijų kinetikos biojutikliuose modeliavimas.” 2011. Web. 27 Nov 2020.

Vancouver:

Gaidamauskaitė E. Kompiuterinis daugiapakopių reakcijų kinetikos biojutikliuose modeliavimas. [Internet] [Doctoral dissertation]. Vilnius University; 2011. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102635-72506 ;.

Council of Science Editors:

Gaidamauskaitė E. Kompiuterinis daugiapakopių reakcijų kinetikos biojutikliuose modeliavimas. [Doctoral Dissertation]. Vilnius University; 2011. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20111122_102635-72506 ;


Vilnius University

9. Kaklauskas, Liudvikas. Fraktalinių procesų kompiuterių tinkluose stebėsenos ir valdymo metodų tyrimas.

Degree: Dissertation, Informatics, 2012, Vilnius University

Disertacijos tyrimų sritis – kompiuterių tinklo paketinio srauto savybės, tinklo mazgo savybių įtaka srauto aptarnavimui, tinklo srauto savybių realaus laiku analizės metodai ir jų taikymas… (more)

Subjects/Keywords: Savastingumas; Hurst koeficientas; Ilgalaikė atmintis; A-stabilusis skirstinys; IR statistika; Self-similarity; Hurst coefficient; Long-range dependence; A-stable distribution; Increment Ratio statistic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kaklauskas, L. (2012). Fraktalinių procesų kompiuterių tinkluose stebėsenos ir valdymo metodų tyrimas. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105032-04013 ;

Chicago Manual of Style (16th Edition):

Kaklauskas, Liudvikas. “Fraktalinių procesų kompiuterių tinkluose stebėsenos ir valdymo metodų tyrimas.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105032-04013 ;.

MLA Handbook (7th Edition):

Kaklauskas, Liudvikas. “Fraktalinių procesų kompiuterių tinkluose stebėsenos ir valdymo metodų tyrimas.” 2012. Web. 27 Nov 2020.

Vancouver:

Kaklauskas L. Fraktalinių procesų kompiuterių tinkluose stebėsenos ir valdymo metodų tyrimas. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105032-04013 ;.

Council of Science Editors:

Kaklauskas L. Fraktalinių procesų kompiuterių tinkluose stebėsenos ir valdymo metodų tyrimas. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105032-04013 ;


Vilnius University

10. Kaklauskas, Liudvikas. Study and application of methods of fractal processes monitoring in computer networks.

Degree: PhD, Informatics, 2012, Vilnius University

The field of the dissertation research is features of computer network packet traffic, the impact of network node features on traffic service, methods of real-time… (more)

Subjects/Keywords: Self-similarity; Hurst coefficient; Long-range dependence; A-stable distribution; Increment Ratio statistic; Savastingumas; Hurst koeficientas; Ilgalaikė atmintis; A-stabilusis skirstinys; IR statistika

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APA (6th Edition):

Kaklauskas, L. (2012). Study and application of methods of fractal processes monitoring in computer networks. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105043-75157 ;

Chicago Manual of Style (16th Edition):

Kaklauskas, Liudvikas. “Study and application of methods of fractal processes monitoring in computer networks.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105043-75157 ;.

MLA Handbook (7th Edition):

Kaklauskas, Liudvikas. “Study and application of methods of fractal processes monitoring in computer networks.” 2012. Web. 27 Nov 2020.

Vancouver:

Kaklauskas L. Study and application of methods of fractal processes monitoring in computer networks. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105043-75157 ;.

Council of Science Editors:

Kaklauskas L. Study and application of methods of fractal processes monitoring in computer networks. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120809_105043-75157 ;


Vilnius University

11. Daniušis, Povilas. Požymių išskyrimas optimizuojant priklausomumo struktūrą.

Degree: PhD, Informatics, 2012, Vilnius University

Daugelis praktiškai reikšmingu sistemu mokymo uždaviniu reikalauja gebeti panaudoti didelio matavimo, strukturizuotus, netiesinius duomenis. Vaizdu, teksto, socialiniu bei verslo ryšiu analize, ivairus bioinformatikos uždaviniai galetu… (more)

Subjects/Keywords: Požymių išskyrimas; Dimensijos mažinimas; Priklausomumo maksimizavimas; Priklausomumo optimizavimas; HSIC; Feature extraction; Dimensionality reduction; Dependence maximization; Dependence optimization; HSIC

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APA (6th Edition):

Daniušis, P. (2012). Požymių išskyrimas optimizuojant priklausomumo struktūrą. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093636-64906 ;

Chicago Manual of Style (16th Edition):

Daniušis, Povilas. “Požymių išskyrimas optimizuojant priklausomumo struktūrą.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093636-64906 ;.

MLA Handbook (7th Edition):

Daniušis, Povilas. “Požymių išskyrimas optimizuojant priklausomumo struktūrą.” 2012. Web. 27 Nov 2020.

Vancouver:

Daniušis P. Požymių išskyrimas optimizuojant priklausomumo struktūrą. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093636-64906 ;.

Council of Science Editors:

Daniušis P. Požymių išskyrimas optimizuojant priklausomumo struktūrą. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093636-64906 ;


Vilnius University

12. Daniušis, Povilas. Feature extraction via dependence structure optimization.

Degree: Dissertation, Informatics, 2012, Vilnius University

In many important real world applications the initial representation of the data is inconvenient, or even prohibitive for further analysis. For example, in image analysis,… (more)

Subjects/Keywords: Feature extraction; Dimensionality reduction; Dependence maximization; Dependence optimization; HSIC; Požymių išskyrimas; Dimensijos mažinimas; Priklausomumo maksimizavimas; Priklausomumo optimizavimas; HSIC

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APA (6th Edition):

Daniušis, P. (2012). Feature extraction via dependence structure optimization. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093645-66010 ;

Chicago Manual of Style (16th Edition):

Daniušis, Povilas. “Feature extraction via dependence structure optimization.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093645-66010 ;.

MLA Handbook (7th Edition):

Daniušis, Povilas. “Feature extraction via dependence structure optimization.” 2012. Web. 27 Nov 2020.

Vancouver:

Daniušis P. Feature extraction via dependence structure optimization. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093645-66010 ;.

Council of Science Editors:

Daniušis P. Feature extraction via dependence structure optimization. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121001_093645-66010 ;


Vilnius University

13. Preidys, Saulius. The application of datamining methods to personalised learning environments.

Degree: PhD, Informatics Engineering, 2012, Vilnius University

The main research area of the dissertation is an investigation of data mining methods and its application in the distance education. Information about the learning… (more)

Subjects/Keywords: Data mining; Personalised learning; Learning styles; Virtual learning environments; Duomneų tyryba; Suasmenintas mokymas; Mokymosi stiliai; Virtualioji mokymo aplinka

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Preidys, Saulius. (2012). The application of datamining methods to personalised learning environments. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085829-45152 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Preidys, Saulius. “The application of datamining methods to personalised learning environments.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085829-45152 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Preidys, Saulius. “The application of datamining methods to personalised learning environments.” 2012. Web. 27 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Preidys, Saulius. The application of datamining methods to personalised learning environments. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085829-45152 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Preidys, Saulius. The application of datamining methods to personalised learning environments. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085829-45152 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Vilnius University

14. Preidys, Saulius. Duomenų tyrybos metodų taikymas suasmeninto elektroninio mokymo aplinkose.

Degree: Dissertation, Informatics Engineering, 2012, Vilnius University

Disertacijos tyrimo sritis yra duomenų tyrybos metodų tyrimas ir taikymas nuotolinėse studijose. Virtualaus mokymo aplinkose (VMA) kaupiama informacija apie mokymosi proceso veiksmus, eigą ir galutinius… (more)

Subjects/Keywords: Duomenų tyryba; Suasmenintas mokymas; Mokymosi stiliai; Virtualiosios mokymo aplinkos; Data mining; Personalised learning; Learning styles; Virtual learning environments

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Preidys, Saulius. (2012). Duomenų tyrybos metodų taikymas suasmeninto elektroninio mokymo aplinkose. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085850-95931 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Preidys, Saulius. “Duomenų tyrybos metodų taikymas suasmeninto elektroninio mokymo aplinkose.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085850-95931 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Preidys, Saulius. “Duomenų tyrybos metodų taikymas suasmeninto elektroninio mokymo aplinkose.” 2012. Web. 27 Nov 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Preidys, Saulius. Duomenų tyrybos metodų taikymas suasmeninto elektroninio mokymo aplinkose. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085850-95931 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Preidys, Saulius. Duomenų tyrybos metodų taikymas suasmeninto elektroninio mokymo aplinkose. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121227_085850-95931 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Vilnius University

15. Lileikytė, Rasa. Šnekos atpažinimo požymių kokybės vertinimas.

Degree: Dissertation, Informatics Engineering, 2012, Vilnius University

Šnekos signalų atpažinimo sistemų tikslumas priklauso nuo šnekos signalus aprašančių požymių ir šiuos požymius naudojančių klasifikatorių savybių. Vertinant tradiciškai atpažinimo sistemų tikslumą kiekvienai pasirinktai požymių… (more)

Subjects/Keywords: Kokybė; Šneka; Požymiai; Quality; Speech; Features

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lileikytė, R. (2012). Šnekos atpažinimo požymių kokybės vertinimas. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090121-75083 ;

Chicago Manual of Style (16th Edition):

Lileikytė, Rasa. “Šnekos atpažinimo požymių kokybės vertinimas.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090121-75083 ;.

MLA Handbook (7th Edition):

Lileikytė, Rasa. “Šnekos atpažinimo požymių kokybės vertinimas.” 2012. Web. 27 Nov 2020.

Vancouver:

Lileikytė R. Šnekos atpažinimo požymių kokybės vertinimas. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090121-75083 ;.

Council of Science Editors:

Lileikytė R. Šnekos atpažinimo požymių kokybės vertinimas. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090121-75083 ;


Vilnius University

16. Lileikytė, Rasa. Quality estimation of speech recognition features.

Degree: PhD, Informatics Engineering, 2012, Vilnius University

The accuracy of speech recognition system depends on characteristics of employed speech recognition features and classifier. Evaluating the accuracy of speech recognition system in ordinary… (more)

Subjects/Keywords: Quality; Speech; Features; Kokybė; Šneka; Požymiai

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lileikytė, R. (2012). Quality estimation of speech recognition features. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090132-92071 ;

Chicago Manual of Style (16th Edition):

Lileikytė, Rasa. “Quality estimation of speech recognition features.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090132-92071 ;.

MLA Handbook (7th Edition):

Lileikytė, Rasa. “Quality estimation of speech recognition features.” 2012. Web. 27 Nov 2020.

Vancouver:

Lileikytė R. Quality estimation of speech recognition features. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090132-92071 ;.

Council of Science Editors:

Lileikytė R. Quality estimation of speech recognition features. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120302_090132-92071 ;


Vilnius University

17. Filatovas, Ernestas. Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu.

Degree: Dissertation, Informatics Engineering, 2012, Vilnius University

Praktikoje dažnai tenka spręsti sudėtingus daugiakriterinius optimizavimo uždavinius, kai kriterijai būna prieštaringi, o galutinis apsisprendimas priklauso nuo sprendimų priėmėjo. Kai sprendimų priėmėjas dalyvauja sprendimo procese… (more)

Subjects/Keywords: Daugiakriterinis optimizavimas; Sprendimų priėmimas; Sprendimų paramos sistemos; Lygiagretieji skaičiavimai; Multiple Criteria Optimization; Decision Making; Decision Support Systems; Parallel Computing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Filatovas, E. (2012). Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093941-01357 ;

Chicago Manual of Style (16th Edition):

Filatovas, Ernestas. “Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093941-01357 ;.

MLA Handbook (7th Edition):

Filatovas, Ernestas. “Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu.” 2012. Web. 27 Nov 2020.

Vancouver:

Filatovas E. Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093941-01357 ;.

Council of Science Editors:

Filatovas E. Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093941-01357 ;


Vilnius University

18. Filatovas, Ernestas. Solving Multiple Criteria Optimization Problems in an Interactive Way.

Degree: PhD, Informatics Engineering, 2012, Vilnius University

In practice, optimization problems are often multiple criteria. The criteria are usually contradictory, so the final decision depends on a decision maker. When the problem… (more)

Subjects/Keywords: Multiple Criteria Optimization; Decision Making; Decision Support Systems; Parallel Computing; Daugiakriterinis optimizavimas; Sprendimų priėmimas; Sprendimų paramos sistemos; Lygiagretus skaičiavimai

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Filatovas, E. (2012). Solving Multiple Criteria Optimization Problems in an Interactive Way. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093953-80981 ;

Chicago Manual of Style (16th Edition):

Filatovas, Ernestas. “Solving Multiple Criteria Optimization Problems in an Interactive Way.” 2012. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093953-80981 ;.

MLA Handbook (7th Edition):

Filatovas, Ernestas. “Solving Multiple Criteria Optimization Problems in an Interactive Way.” 2012. Web. 27 Nov 2020.

Vancouver:

Filatovas E. Solving Multiple Criteria Optimization Problems in an Interactive Way. [Internet] [Doctoral dissertation]. Vilnius University; 2012. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093953-80981 ;.

Council of Science Editors:

Filatovas E. Solving Multiple Criteria Optimization Problems in an Interactive Way. [Doctoral Dissertation]. Vilnius University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093953-80981 ;


Vilnius University

19. Kybartas, Rimantas. Multi-class recognition using pair-wise classifiers.

Degree: Dissertation, Informatics, 2010, Vilnius University

There are plenty of solutions for the task of multi-class recognition. Unfortunately, these solutions are not always unanimous. Most of them are based on empirical… (more)

Subjects/Keywords: Multi-class classification; Single layer perceptron; Pair-wise classification; Daugelio klasių klasifikavimas; Vieno sluoksnio perceptronas; Klasifikavimas poroms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kybartas, R. (2010). Multi-class recognition using pair-wise classifiers. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150424-92661 ;

Chicago Manual of Style (16th Edition):

Kybartas, Rimantas. “Multi-class recognition using pair-wise classifiers.” 2010. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150424-92661 ;.

MLA Handbook (7th Edition):

Kybartas, Rimantas. “Multi-class recognition using pair-wise classifiers.” 2010. Web. 27 Nov 2020.

Vancouver:

Kybartas R. Multi-class recognition using pair-wise classifiers. [Internet] [Doctoral dissertation]. Vilnius University; 2010. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150424-92661 ;.

Council of Science Editors:

Kybartas R. Multi-class recognition using pair-wise classifiers. [Doctoral Dissertation]. Vilnius University; 2010. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150424-92661 ;


Vilnius University

20. Kybartas, Rimantas. Daugelio klasių atpažinimas naudojant klasifikatorius poroms.

Degree: PhD, Informatics, 2010, Vilnius University

Daugelio klasių atpažinimo uždaviniams spręsti yra sukurta aibė sprendimų ir ne visada vieningų rekomendacijų. Dauguma jų paremta empiriniais bandymais, retai atsižvelgiama į statistines duomenų savybes.… (more)

Subjects/Keywords: Daugelio klasių klasifikavimas; Vieno sluoksnio perceptronas; Klasifikavimas poroms; Multi-class classification; Single layer perceptron; Pair-wise classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kybartas, R. (2010). Daugelio klasių atpažinimas naudojant klasifikatorius poroms. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150435-26873 ;

Chicago Manual of Style (16th Edition):

Kybartas, Rimantas. “Daugelio klasių atpažinimas naudojant klasifikatorius poroms.” 2010. Doctoral Dissertation, Vilnius University. Accessed November 27, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150435-26873 ;.

MLA Handbook (7th Edition):

Kybartas, Rimantas. “Daugelio klasių atpažinimas naudojant klasifikatorius poroms.” 2010. Web. 27 Nov 2020.

Vancouver:

Kybartas R. Daugelio klasių atpažinimas naudojant klasifikatorius poroms. [Internet] [Doctoral dissertation]. Vilnius University; 2010. [cited 2020 Nov 27]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150435-26873 ;.

Council of Science Editors:

Kybartas R. Daugelio klasių atpažinimas naudojant klasifikatorius poroms. [Doctoral Dissertation]. Vilnius University; 2010. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101001_150435-26873 ;

.