Results

Looking for more? ProQuest® Dissertations & Theses has additional dissertations and theses.
37726 open access dissertations and theses found for:
if(Gradual learning algorithm)  »   Refine Search
1.
Competing Factors in Phonological Learning Models: The Acquisition of English Consonant Clusters
by Reynolds, Amy R., M.A.  The University of North Carolina at Chapel Hill. 2011: 98 pages; 1500741.
2.
Simplifying algorithm learning using serious games
by Shabanah, Sahar Siraj, Ph.D.  George Mason University. 2010: 240 pages; 3407063.
3.
4.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
5.
A reinforcement learning model of gaze following
by Jasso, Hector, Ph.D.  University of California, San Diego. 2007: 130 pages; 3259369.
6.
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.
7.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
8.
Task Relationship Modeling in Lifelong Multitask Learning
by Mishra, Meenakshi, Ph.D.  University of Kansas. 2015: 165 pages; 3721005.
10.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
11.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
14.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
15.
Tactic-Based Learning for collective learning systems
by Armstrong, Alice, D.Sc.  The George Washington University. 2008: 320 pages; 3304083.
16.
Learning to rank documents with support vector machines via active learning
by Arens, Robert James, Ph.D.  The University of Iowa. 2009: 113 pages; 3390239.
17.
Building and Evaluating a Learning Environment for Algorithm and Data Structures Courses
by Mbindi, Eric Noel Fouh, Ph.D.  Virginia Polytechnic Institute and State University. 2015: 151 pages; 10595292.
18.
Decision tree-based machine learning algorithm for in-node vehicle classification
by Trivedi, Ankit P., M.S.  California State University, Long Beach. 2016: 66 pages; 10196455.
19.
20.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
21.
The Phonology of Contact: Creole sound change in context
by Ng, E-Ching, Ph.D.  Yale University. 2015: 191 pages; 3663654.
22.
Positive-Unlabeled Learning in the Context of Protein Function Prediction
by Youngs, Noah, Ph.D.  New York University. 2014: 160 pages; 3665223.
24.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
26.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
29.
30.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
1 - 30 of 37726 displayed.
  1    2    3    4    5    6    7    8    9    10    11   Next >
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest