2026-09-18T20:01:07Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/90827 2023-07-11 col_2142_5131 com_2142_5130

Roth, Dan Jiang, Yiming 2016-07-07T20:28:02Z 2016-07-07T20:28:02Z 2018-07-08T09:15:20Z 2016-04-26 2016-05 Machine Learning (ML) is the science that enables computers with the ability to learn without being explicitly programmed. ML is so pervasive today, with applications in speech recognition, recommendation systems, fraud detection and many more that we may not be aware of. To facilitate a rapid pace of development, it is important to create a framework with modularity and reusability. Learning Based Java (LBJava) was introduced by Cognitive Computation Group (CCG) to achieve such goal. This thesis extends and introduces multiple components in LBJava. We begin by giving a comprehensive literature review relates to Learning Based Programming (LBP) and LBJava. Then we introduce regression evaluation metrics to LBJava. In addition, we introduce Adaptive Sub- Gradient (AdaGrad) for regression. Then we add a comprehensive tutorial with example on regression. Furthermore, we extend both SGD and AdaGrad algorithms for classification. Then we evaluate across var- ious learning algorithms, with sparse and dense features, using large programmatically generated datasets. Moreover, we introduce Neural Network (NN), in particular, Multilayer Perceptron (MLP), to LBJava. We also did some miscellaneous work. Lastly, we conclude on all the extended and added components and provide recommendations for future work. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01 The student, Yiming Jiang, accepted the attached license on 2016-04-25 at 16:00. The student, Yiming Jiang, submitted this Thesis for approval on 2016-04-25 at 16:12. This Thesis was approved for publication on 2016-04-26 at 15:44. DSpace SAF Submission Ingestion Package generated from Vireo submission #9486 on 2016-07-07 at 13:50:51 Made available in DSpace on 2016-07-07T20:28:02Z (GMT). No. of bitstreams: 2 JIANG-THESIS-2016.pdf: 281764 bytes, checksum: edda791770387b6e34f11d5fbea738fc (MD5) LICENSE.txt: 4209 bytes, checksum: 4dc5fa3024bef4bbd3986745ea525fdd (MD5) Previous issue date: 2016-04-26 Embargo set by: Seth Robbins for item 93179 Lift date: 2018-07-07T20:28:14Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 93179 Lift date: 2018-07-07T20:35:34Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 93179 on 2018-07-08T09:15:20Z. application/pdf http://hdl.handle.net/2142/90827 en Copyright 2016 Yiming Jiang Machine Learning Improvements and augmentations to Learning Based Java: a Java based learning based programming language text text Computer Science Computer Science University of Illinois at Urbana-Champaign Thesis M.S.