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Colloquium - Weigend

ECCR 2-26

Modeling, Learning, and Meaning
Department of Computer Science
Andreas Weigend photo

This talk focuses on building nonlinear models of noisy systems for predicting new instances and describing and understanding the properties underlying the system. Examples range from compilers and software engineering to music and finance.

After explaining a framework that combines the tools and insights from stochastic linear models with deterministic nonlinear models, I discuss model selection and overfitting, central for flexible models such as neural networks. I present approaches to some of the current problems in time series analysis: how to predict the volatility (local error bar) of the next forecast, how to find regimes and segment a time series based on the local noise levels, how to build multi-scale architectures that exploit different time scales of predictability, and how to extract information about the inputs and clean the time series through the emerging model.

Refreshments will be served prior to the talk.

The Department holds colloquia throughout the Fall and Spring semesters. These colloquia, open to the public, are typically held on Thursday afternoons, but sometimes occur at other times as well. If you would like to receive email notification of upcoming colloquia, subscribe to our Colloquia Mailing List. If you would like to schedule a colloquium, see Colloquium Scheduling.

Sign language interpreters are available upon request. Please contact Stephanie Morris at least five days prior to the colloquium.

See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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