Seminar on Computational Learning and Adaptation
Schedule for Winter quarter 1998
- January 8, 1998. Supervised Classification
with Temporal Data. Stefanos Manganaris, IBM Almaden.
- January 15, 1998. Data Mining and Machine Learning
in Finance: the Application of Exchange Rate Forecasting . Folke Axel
Rauscher, Daimler-Benz Research & Technology, Ulm, Germany.
- January 22, 1998. Automobile Traffic Management
through Intelligent Lane Selection: A Distributed, Machine Learning
Approach. David Moriarty, ISI, USC.
- January 29, 1998. Learning Comprehensible
Predictive Models from Data. Mike Pazzani, Department of Information
and Computer Science, University of California, Irvine.
- February 5, 1998. Knowledge-Lean Word Sense Disambiguation. Ted Pedersen, Department of Computer Science and
Engineering, Southern Methodist University, Dallas, TX.
- February 12, 1998. Minimum Message Length Applied
to Segmenting Simple Time Series. Jonathan J. Oliver, Ultimode Systems,
Data Mining Consultancy, Berkeley, CA.
- February 19, 1998. Massive Time-Series Data
Mining via Envelope Learning and Monitoring. Dennis DeCoste, Jet
Propulsion Laboratory, Pasadena, CA.
- February 26, 1998. Kernel Methods for Classification
. Tommi Jaakkola, University of California, Santa Cruz.
- March 5, 1998. Between MDPs and Semi-MDPs:
Learning, Planning, and Representing Knowledge at Multiple Temporal
Scales. Rich Sutton, University of Massachusetts, Amherst.
- March 12, 1998. Learning Situation-Dependent
Planning Knowledge from Uncertain Robot Execution Data. Karen Zita
Haigh, Carnegie Mellon University, Pittsburgh, PA.
- March 19, 1998. Learning Evaluation Functions
for Optimization. Justin Boyan, Carnegie Mellon University, Pittsburgh, PA.
- March 26, 1998. Summarizing Similarities and
Differences Among Related Documents. Eric Bloedorn, MITRE Corporation,
McLean, VA.
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