2026-09-20T22:18:13Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81574 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Levinson, Stephen E. Huang, Thomas S. Liu, Qiong 2015-09-25T20:19:16Z 2015-09-25T20:19:16Z 10000-01-01 2001 2001 The thesis reports the design and implementation of our scheme for spoken language acquisition. In the thesis, we discuss the available resources and possible pitfalls for the robot project: we discuss the speech communication techniques that can be or cannot be used in our project; we choose the classifiers that are suitable to our project; and we also present a humancomputer interaction model and the robot training strategies. Based on these analyses and discussions, we develop our learning scheme that can learn online from both labeled and unlabeled data. The learning scheme is based on successive refinement of the decision boundary. Made available in DSpace on 2015-09-25T20:19:16Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3017152.pdf: 6715120 bytes, checksum: b751c32af6e34af05b223caedc515382 (MD5) Previous issue date: 2001 Embargo set by: Seth Robbins for item 82855 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 121 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001. http://hdl.handle.net/2142/81574 (MiAaPQ)AAI3017152 eng Computer Science Interactive and Incremental Learning via a Multisensory Mobile Robot text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.