CMSC 691B Topic Ideas
Active learning
Suggested by Prof. Marie desJardins
Description: Machine learning techniques for selecting the most useful
instance to label next.
Relevant publications: Journals:
Machine Learning Journal, Journal of Machine Learning
Research, Journal of AI Research. Conferences: AAAI, ICML, IJCAI,
NIPS.
Papers:
- Baram, El Yaniv, and Luz, Online choice
of active learning, Journal of Machine Learning Research 5(Mar):
255-291, 2004.
- Cohn, Atlas, Ladner, "Improving generalization with active learning,"
Machine Learning 15(2): 201-221, 1994.
- Cohn, Ghahramani, and Jordan, "Active learning with statistical
models," JAIR 1996.
- Tong and Koller, "Active learning for structure in Bayesian networks",
IJCAI-01.
Plan explanation and summarization
Suggested by Prof. Marie desJardins
Description: Methods for automatically producing concise, informative
summaries of plans produced by AI planning systems (particularly
hierarchical task network planners)
Relevant publications: Journals:
Artificial Intelligence Journal, Journal of
AI Research. Conferences: AAAI, IJCAI, AIPS, ICAPS.
Papers:
- Myers, "Metatheoretic plan summarization and comparison,"
ICAPS-05 Workshop on Mixed Initiative planning and Scheduling.
- Clement and Durfee, "Theory for coordinating concurrent hierarchical
planning agents using summary information," AAAI-99..
- Weld, "An introduction to least-commitment planning," AI Magazine
1994
- Mulvehill, "Plan comparison and summarization," AIPS-98
- Autobrief, http://www-2.cs.cmu.edu/Groups/sage/autobrief.html
Distributed Information Retrieval
Suggested by Prof. Charles Nicholas
Description: Techniques for dividing documents, indices, or metadata
among a set of computers linked by a network.
Publications:
Journals: Information Retrieval, Information Processing and
Managemnent. Conferences: SIGIR, CIKM, VLDB.
Papers:
- J. Callan. Distributed information retrieval. In W.B. Croft, editor,
Advances in information retrieval, chapter 5, pages 127-150. Kluwer
Academic Publishers, 2000.
- The Impact of Database Selection on Distributed Searching
Allison L. Powell, James C. French, Jamie Callan
SIGIR 2000
- L. Gravano, and H. Garcia-Molina. Generalizing GlOSS to Vector-Space
databases and Broker Hierarchies. VLDB Conf., 1995.
Ebiquity Topics
Suggested by Prof. Tim Finin
See
http://ebiquity.umbc.edu/v2.1/research/area/id/future/
for a list of project ideas related to the eBiquity lab.