|
Machine Learning Research at the
University
of Utah |
Machine learning is the study of computational systems that
improve performance at some task with experience. The Machine
Learning research group at the University of Utah
is led by Cindi Thompson, and our research
applies machine learning to problems such as natural language acquisition and
conversational
recommender systems, and investigates issues such as active learning
and learning from sensor data.
We are located in the
School of Computing, at
the University of Utah
.
You might also be interested in the Natural Language Processing Group here.
Group Meetings
Graduate Students:
Some Related WWW Sites
Associations and Groups
- AAAI - American Association for Artificial Intelligence
- IJCAI - International Joint Conference on Artificial Intelligence
- CogSci - Cognitive Science Society
- SIGART - ACM Special Interest Group on Artificial Intelligence
- SIGKDD - ACM Special Interest Group
on Knowledge Discovery in Databases
- SIGIR - ACM Special Interest Group
on Information Retrieval
- AUAI - Association for Uncertainty in Artificial Intelligence
- ILPNet - European Inductive Logic Programming Scientific Network
- ACL - Association for
Computational Linguistics
- NAACL
- Association for Computational Linguistics, North American Chapter
- COLING - International Conference on
Computational Linguistics
- SIGNLL - ACL Special Interest Group on Natural Language Learning
- SIGDAT - ACL
Special Interest Group on Linguistic Data and Corpora
Conferences and Workshops
Information Sources
Code Resources
Journals
Learning and AI Systems
- FOIL - J. R. Quinlan's inductive learner
- PRODIGY - Problem solving system for
planning and learning at Carnegie Mellon
- UCPOP -
Partial-Order Planner at University of Washington
Publishing Companies
Research Groups