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Penn State University

1.
Rao, Aniruddha Rajendra.
COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL *EXPONENTIAL* FAMILIES.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16246arr30

► In this thesis, we consider the problem of estimating an unknown density, p_o belonging to an infinite dimensional *exponential* family P parametrized by functions in…
(more)

Subjects/Keywords: Kernel Methods; Density Estimation; Exponential Family; Computation; Infinite Dimension

Record Details Similar Records

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

APA (6^{th} Edition):

Rao, A. R. (2019). COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16246arr30

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Thesis, Penn State University. Accessed October 01, 2020. https://submit-etda.libraries.psu.edu/catalog/16246arr30.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Web. 01 Oct 2020.

Vancouver:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30

Not specified: Masters Thesis or Doctoral Dissertation

2. McWhorter, Samuel P. Fundamental Issues in Support Vector Machines.

Degree: 2014, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc500155/

► This dissertation considers certain issues in support vector machines (SVMs), including a description of their construction, aspects of certain *exponential* kernels used in some SVMs,…
(more)

Subjects/Keywords: Support vector machines; radial basis function kernel; exponential kernel; elementary proof; Support vector machines.; Algorithms.

…i = 0}
so H is the *kernel* of the map lj : V → R given by lj (w) = hw, vj i… …in the presence of other characters,
in some variety of possible orientations.
1.6. *Kernel*… …Hilbert space V , as we will now show. (The fundamental notion here, the
“*kernel* trick”, is… …vector machines, selection of a *kernel* is essentially
equivalent to selection of a map Φ from a… …positivedefinite *kernel* functions from a feature space to R. Construction of this function proceeds
by…

Record Details Similar Records

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

APA (6^{th} Edition):

McWhorter, S. P. (2014). Fundamental Issues in Support Vector Machines. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc500155/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

McWhorter, Samuel P. “Fundamental Issues in Support Vector Machines.” 2014. Thesis, University of North Texas. Accessed October 01, 2020. https://digital.library.unt.edu/ark:/67531/metadc500155/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

McWhorter, Samuel P. “Fundamental Issues in Support Vector Machines.” 2014. Web. 01 Oct 2020.

Vancouver:

McWhorter SP. Fundamental Issues in Support Vector Machines. [Internet] [Thesis]. University of North Texas; 2014. [cited 2020 Oct 01]. Available from: https://digital.library.unt.edu/ark:/67531/metadc500155/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McWhorter SP. Fundamental Issues in Support Vector Machines. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc500155/

Not specified: Masters Thesis or Doctoral Dissertation

Brigham Young University

3.
Hakala, Tim.
Settling-Time Improvements in Positioning Machines *Subject* to Nonlinear Friction Using Adaptive Impulse Control.

Degree: PhD, 2006, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2060&context=etd

► A new method of adaptive impulse control is developed to precisely and quickly control the position of machine components *subject* to friction. Friction dominates the…
(more)

Subjects/Keywords: control; position; adaptive; impulsive; settling-time; nonlinear friction; pulses; displacements; precise; tolerances; log-spaced; update; distributed; learning; Coulomb; Stribeck; Tomizuka; Yang; AIC; PID; MRAC; STR; RTAI; Linux; FreeBSD; kernel modules; microcontroller; convergence; practical; self-tuning; methods; techniques; limit-cycles; steady-state; error; zero; stable; stability; bound; envelope; partitioned; scheme; lookup-table; multi-point; adaptation; repeatable; mean; servo; motor; exponential; square-law; rise-time; real-time; log-log interpolation; pro-forma; curve-fit; sensitivity; compliance; variable; static; dynamic response; torque; acceleration; velocity; optical encoder; parameters; evolution; fixed-law; enhanced split; weighting; initialization; trajectory; layered processes; Mechanical Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Hakala, T. (2006). Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2060&context=etd

Chicago Manual of Style (16^{th} Edition):

Hakala, Tim. “Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control.” 2006. Doctoral Dissertation, Brigham Young University. Accessed October 01, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2060&context=etd.

MLA Handbook (7^{th} Edition):

Hakala, Tim. “Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control.” 2006. Web. 01 Oct 2020.

Vancouver:

Hakala T. Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control. [Internet] [Doctoral dissertation]. Brigham Young University; 2006. [cited 2020 Oct 01]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2060&context=etd.

Council of Science Editors:

Hakala T. Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control. [Doctoral Dissertation]. Brigham Young University; 2006. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2060&context=etd

4. Muševič, Sašo. Non-stationary sinusoidal analysis.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2013, Universitat Pompeu Fabra

URL: http://hdl.handle.net/10803/123809

► Many types of everyday signals fall into the non-stationary sinusoids category. A large family of such signals represent audio, including acoustic/electronic, pitched/transient instrument sounds, human…
(more)

Subjects/Keywords: Sinusoidal analysis; Non-stationary sinusoid; Amplitude modulation; Frequency modulation; Polynomial phase; Generalised sinusoid; Complex polynomial amplitude modulated complex sinusoid with exponential damping; cPACE, cPACED, PACE; Overapping sinusoids; Non-linear analysis; Kernel based analysis; Linear systems of equations; Non-linear systems of equations; Multivariate polynomial systems; Energy reallocation; Reassignment; Generalised reassignment; Distribution derivative; Derivative method; Sinusoidal parameter estimation; Sound analysis; High-resolution analysis; Transient analysis; Time-frequency distributions; Chebyshev polynomial; Adaptive signal analysis; Gamma function; 62

…to
generalise the complex *exponential* to an arbitrary *kernel* Ψ(t):
s(t)… …Specifically, a number of state-of-the-art
*kernel* based methods are described, evaluated and improved… …with *exponential* damping
(cPACED) and the generalised sinusoid - a complex sinusoid… …71
5 Reassignment with adaptive Fourier poly-phase
5.1 GRM using a generic *kernel*… …5.2 Polynomial-phase Fourier *kernel* . . . . . . . . .
5.3 Tests and Results…

Record Details Similar Records

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

APA (6^{th} Edition):

Muševič, S. (2013). Non-stationary sinusoidal analysis. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/123809

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Muševič, Sašo. “Non-stationary sinusoidal analysis.” 2013. Thesis, Universitat Pompeu Fabra. Accessed October 01, 2020. http://hdl.handle.net/10803/123809.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Muševič, Sašo. “Non-stationary sinusoidal analysis.” 2013. Web. 01 Oct 2020.

Vancouver:

Muševič S. Non-stationary sinusoidal analysis. [Internet] [Thesis]. Universitat Pompeu Fabra; 2013. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10803/123809.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Muševič S. Non-stationary sinusoidal analysis. [Thesis]. Universitat Pompeu Fabra; 2013. Available from: http://hdl.handle.net/10803/123809

Not specified: Masters Thesis or Doctoral Dissertation