Results 31 to 40 of about 5,756,257 (288)
On the Consistency of Bootstrap Testing for a Parameter on the Boundary of the Parameter Space [PDF]
Journal of Time Series Analysis, 2016 It is well known that with a parameter on the boundary of the parameter space, such as in the classic cases of testing for a zero location parameter or no autoregressive conditional heteroskedasticity (ARCH) effects, the classic nonparametric bootstrap – based on unrestricted parameter estimates – leads to inconsistent testing.
Cavaliere, Giuseppe +2 more
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Visualization of Parameter Space for Image Analysis [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2011 Image analysis algorithms are often highly parameterized and much human input is needed to optimize parameter settings. This incurs a time cost of up to several days. We analyze and characterize the conventional parameter optimization process for image analysis and formulate user requirements.
A. Johannes Pretorius +3 more
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Reply to determining structural identifiability of parameter learning machines [PDF]
, 2016 The paper Ran and Hu (2014, Neurocomputing) examines identifiability and parameter redundancy in classes of models used in machine learning. This note discusses the results on global identifiability and also clarifies that the paper's results on ...
Cole, Diana J.
core +1 more source
The Parameter Space of Galaxy Formation
, 2010 Semi-analytic models are a powerful tool for studying the formation of galaxies. However, these models inevitably involve a significant number of poorly constrained parameters that must be adjusted to provide an acceptable match to the observed Universe. In this paper, we set out to quantify the degree to which observational data sets can constrain the
Bower, R. G. +7 more
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Derivation of Robust Stability Ranges for Disconnected Region with Multiple Parameters
SICE Journal of Control, Measurement, and System Integration, 2017 The aim of this paper is to give an extension of the paper [T. Matsuda et al. Proc. 33rd IASTED Modelling, Identification and Control, 809-004, 2014], which gives a robust stability condition for a system with disconnected stability regions.
Tadasuke Matsuda
doaj +1 more source
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages
Transactions of the Association for Computational Linguistics, 2021 Most combinations of NLP tasks and language varieties lack in-domain examples for supervised training because of the paucity of annotated data. How can neural models make sample-efficient generalizations from task–language combinations with available ...
Edoardo M. Ponti +5 more
doaj +1 more source
Parameter Space Noise for Exploration
CoRR, 2017 Updated to camera-ready ICLR ...
Matthias Plappert +8 more
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Mixture models: building a parameter space [PDF]
Statistics and Computing, 2016 Despite the flexibility and popularity of mixture models, their associated parameter spaces are often difficult to represent due to fundamental identification problems. This paper looks at a novel way of representing such a space for general mixtures of exponential families, where the parameters are identifiable, interpretable, and, due to a tractable ...
Vahed Maroufy, Paul Marriott
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Parity-time symmetry in parameter space of polarization
APL Photonics, 2021 Establishing parity-time (PT) symmetry in non-spatial space is a promising way to simplify the PT-symmetry system structure. In this paper, an implementation of PT symmetry in optical polarization space is reported.
Qi Ding +9 more
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A Kernel for Hierarchical Parameter Spaces
CoRR, 2013 We define a family of kernels for mixed continuous/discrete hierarchical parameter spaces and show that they are positive definite.
Frank Hutter, Michael A. Osborne
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