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1.
An iterative feature perturbation method for gene selection from microarray data
by Reich, Juana Canul, Ph.D.  University of South Florida. 2010: 153 pages; 3425694.
2.
Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests
by Jaiantilal, Abhishek, Ph.D.  University of Colorado at Boulder. 2013: 164 pages; 3592307.
3.
Feature selection techniques and applications in bioinformatics
by Dittman, David, M.S.  Florida Atlantic University. 2011: 147 pages; 1504155.
4.
Perturbation Theory of Electromagnetic Scattering from Layered Media with Rough Interfaces
by Demir, Metin A., Ph.D.  The Ohio State University. 2007: 205 pages; 10836007.
5.
Inverse optimal control for deterministic continuous-time nonlinear systems
by Johnson, Miles J., Ph.D.  University of Illinois at Urbana-Champaign. 2013: 147 pages; 3632073.
6.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
7.
Link Discovery through Iterative Link Classification: Towards a Real-Time Analysis of Graph Evolution
by Pusala, Murali Krishna, Ph.D.  University of Louisiana at Lafayette. 2018: 116 pages; 10846556.
8.
Complexity and power consumption in stochastic iterative decoders
by Payak, Keyur M., M.S.  Utah State University. 2010: 52 pages; 1483787.
10.
Expansion of Perturbation Theory Applied to Shim Rotation Automation of the Advanced Test Reactor
by Peterson, Joshua Loren, Ph.D.  The University of Texas at Austin. 2011: 189 pages; 3484427.
11.
Methods for increasing domains of convergence in iterative linear system solvers
by Imberti, David M., Ph.D.  Purdue University. 2013: 94 pages; 3613148.
12.
Spectral Analysis of Directed Graphs using Matrix Perturbation Theory
by Li, Yuemeng, Ph.D.  The University of North Carolina at Charlotte. 2017: 143 pages; 10618933.
14.
2.5d teleseismic waveform tomography with application to the tien shan
by Baker, Benjamin Ian, Ph.D.  Rensselaer Polytechnic Institute. 2013: 212 pages; 3613267.
15.
An external focus of attention improves stability after a perturbation during a dynamic balance task
by Ducharme, Scott W., M.S.  California State University, Long Beach. 2012: 81 pages; 1520898.
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Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
20.
Analysis and design of systems with a non-negative impulse response
by Liu, Yuzhe, Ph.D.  University of Notre Dame. 2011: 227 pages; 3496611.
21.
Iterative Techniques for Spectral Computed Tomography
by Salehjahromi, Morteza, Ph.D.  University of Massachusetts Lowell. 2019: 111 pages; 13902150.
22.
Decomposition of Intermolecular Interactions in ab initio Spectroscopy
by Berquist, Eric John, Ph.D.  University of Pittsburgh. 2018: 290 pages; 11003760.
24.
Deconstruction of fungal, nonreducing iterative type I polyketide synthases
by Crawford, Jason Michael, Ph.D.  The Johns Hopkins University. 2008: 153 pages; 3395986.
25.
Iterative receiver for Flip OFDM in optical wireless communication
by Borra, Shiva Shankar Reddy, M.S.  California State University, Long Beach. 2016: 66 pages; 10134005.
26.
Iterative receiver for flip orthogonal frequency division multiplexing and proposed 5G modulation techniques
by Bagdiya, Anshul P., M.S.  California State University, Long Beach. 2017: 44 pages; 10251768.
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Linking neural activity with perceptual decision making via sparse decoding
by Shi, Jianing, Ph.D.  Columbia University. 2010: 211 pages; 3428702.
29.
Understanding the Impact of Support for Iteration on Code Search
by Martie, Lee Thomas, Ph.D.  University of California, Irvine. 2017: 323 pages; 10621338.
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