Number of found documents: 1580
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Nonlinear Conjugate Gradient Methods
Lukšan, Ladislav; Vlček, Jan
2015 - English
Modifications of nonlinear conjugate gradient method are described and tested. Keywords: minimization; nonlinear conjugate gradient methods; comparison of methods; efficiency of methods Available in digital repository of the ASCR
Nonlinear Conjugate Gradient Methods

Modifications of nonlinear conjugate gradient method are described and tested.

Lukšan, Ladislav; Vlček, Jan
Ústav informatiky, 2015

A Modified Limited-Memory BNS Method for Unconstrained Minimization Derived from the Conjugate Directions Idea
Vlček, Jan; Lukšan, Ladislav
2015 - English
A modification of the limited-memory variable metric BNS method for large scale unconstrained optimization of the differentiable function $f:{\cal R}^N\to\cal R$ is considered, which consists in corrections (based on the idea of conjugate directions) of difference vectors for better satisfaction of the previous quasi-Newton conditions. In comparison with [11], more previous iterations can be utilized here. For quadratic objective functions, the improvement of convergence is the best one in some sense, all stored corrected difference vectors are conjugate and the quasi-Newton conditions with these vectors are satisfied. The algorithm is globally convergent for convex sufficiently smooth functions and our numerical experiments indicate its efficiency. Keywords: large scale unconstrained optimization; numerical experiments; limited-memory variable metric method; BNS method; quasi-Newton method; convergence Available in digital repository of the ASCR
A Modified Limited-Memory BNS Method for Unconstrained Minimization Derived from the Conjugate Directions Idea

A modification of the limited-memory variable metric BNS method for large scale unconstrained optimization of the differentiable function $f:{\cal R}^N\to\cal R$ is considered, which consists in ...

Vlček, Jan; Lukšan, Ladislav
Ústav informatiky, 2015

Causation Entropy Principle and Bayesian Inference to Causal Networks
Coufal, David; Hlinka, Jaroslav
2015 - English
Keywords: causal links; causation entropy; Bayesian inference Available in a digital repository NRGL
Causation Entropy Principle and Bayesian Inference to Causal Networks

Coufal, David; Hlinka, Jaroslav
Ústav informatiky, 2015

On Two Methods for the Parameter Estimation Problem with Spatio-Temporal FRAP Data
Papáček, Š.; Jablonský, J.; Matonoha, Ctirad
2015 - English
FRAP (Fluorescence Recovery After Photobleaching) is a measurement technique for determination of the mobility of fluorescent molecules (presumably due to the diffusion process) within the living cells. While the experimental setup and protocol are usually fixed, the method used for the model parameter estimation, i.e. the data processing step, is not well established. In order to enhance the quantitative analysis of experimental (noisy) FRAP data, we firstly formulate the inverse problem of model parameter estimation and then we focus on how the different methods of data pre- processing influence the confidence interval of the estimated parameters, namely the diffusion constant $p$. Finally, we present a preliminary study of two methods for the computation of a least-squares estimate $\hat{p}$ and its confidence interval. Keywords: parameter estimation; fluorescence recovery after photobleaching; diffusion equation; Moullineaux method; Fisher information matrix; sensitivity analysis; confidence intervals; uncertainty quantification Available in digital repository of the ASCR
On Two Methods for the Parameter Estimation Problem with Spatio-Temporal FRAP Data

FRAP (Fluorescence Recovery After Photobleaching) is a measurement technique for determination of the mobility of fluorescent molecules (presumably due to the diffusion process) within the living ...

Papáček, Š.; Jablonský, J.; Matonoha, Ctirad
Ústav informatiky, 2015

Soupis publikovaných prací pana doc. RNDr. Ivana Kramosila, DrSc., zpracovaný ke dni 29. května 2015 knihovnou Ústavu informatiky AV ČR, v. v. i.
Nývltová, Ludmila; Ramešová, Nina; Šírová, Tereza
2015 - Czech
Keywords: bibliografie Available in a digital repository NRGL
Soupis publikovaných prací pana doc. RNDr. Ivana Kramosila, DrSc., zpracovaný ke dni 29. května 2015 knihovnou Ústavu informatiky AV ČR, v. v. i.

Nývltová, Ludmila; Ramešová, Nina; Šírová, Tereza
Ústav informatiky, 2015

Measures for Classification Results Evaluation
Řezanková, Hana; Húsek, Dušan
2015 - English
Keywords: similarity measures; measures of agreement; success rate of classification Available in a digital repository NRGL
Measures for Classification Results Evaluation

Řezanková, Hana; Húsek, Dušan
Ústav informatiky, 2015

Soupis publikovaných prací pana doc. Ing. Václava Šebesty, DrSc., zpracovaný v říjnu 2015 knihovnou Ústavu informatiky AV ČR, v. v. i. k příležitosti 70. narozenin autora
Nývltová, Ludmila; Ramešová, Nina; Šírová, Tereza
2015 - Czech
Keywords: bibliografie Available in a digital repository NRGL
Soupis publikovaných prací pana doc. Ing. Václava Šebesty, DrSc., zpracovaný v říjnu 2015 knihovnou Ústavu informatiky AV ČR, v. v. i. k příležitosti 70. narozenin autora

Nývltová, Ludmila; Ramešová, Nina; Šírová, Tereza
Ústav informatiky, 2015

IINC Software
Jiřina, Marcel
2015 - English
Keywords: Multidimensional data; Classifier; Distance; Metrics; Hassanat metrics; k-NN; IINC Available in a digital repository NRGL
IINC Software

Jiřina, Marcel
Ústav informatiky, 2015

Probabilistic learning model PAC - lecture notes
Hakl, František
2015 - English
Keywords: supervised learning; PAC model; Vapnik-Chervonenkis dimension; learning algorithms Available in a digital repository NRGL
Probabilistic learning model PAC - lecture notes

Hakl, František
Ústav informatiky, 2015

Indecisive Belief Functions
Daniel, Milan
2015 - English
This study presents an idea of indecisive functions, their general and also special definitions, plausibility and pignistic indecisive belief functions. The rich structure of indecisive belief functions is studied in general, and also in special views: both general substructures and indecisive belief functions on three-element and general finite frames of discernment. We are focused to pignistic and contour (plausibility) indecisive belief functions, including their mutual relationship in our study. The later have interesting algebraic structure related to Dempster’s rule of combination. Keywords: belief function; theory of evidence; Dempster-Shafer theory; Dempster’s semigroup Fulltext is available at external website.
Indecisive Belief Functions

This study presents an idea of indecisive functions, their general and also special definitions, plausibility and pignistic indecisive belief functions. The rich structure of indecisive belief ...

Daniel, Milan
Ústav informatiky, 2015

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