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Steven Damelin - Mathematical Reviews, American Mathematical Society
Apr 20, 11:25am
Applied Mathematics - Seminar - E1 102
Abstract: Kernel machines such as the Support Vector Machine are attractive because they can approximate functions or decision boundaries arbitrarily well with enough training data. Unfortunately, methods that operate on the kernel matrix (Gram matrix) of massive data sets in high dimensions... read more
Mon.
Apr 20
Matthew Lorig - University of Washington
Apr 20, 4:40pm
Applied Mathematics - Colloquia - LS 152
Abstract: We consider a general local-stochastic volatility model and an investor with exponential utility. For a European-style contingent claim, we derive an explicit approximation for both the buyer's and seller's indifference price.  Additionally, we translate indifference prices into... read more
Mon.
Apr 20
Oleg E. Roderick - Geisinger Health System
Apr 22, 3:15pm to 6:00pm
Applied Mathematics - Seminar - E1 102
Modern, evidence-driven approach to healthcare relies on accumulation of electronic medical records. Data sets with medical histories now cover decades of time and millions of patients. Most of this data is never made available to external researchers. In this talk, Roderick discusses a common... read more
Wed.
Apr 22
Julienne Kabre
Apr 22, 4:40pm
Applied Mathematics - Seminar - E1 025
Wed.
Apr 22
Francisco Hernandez
Apr 24, 4:40pm
Applied Mathematics - Seminar - E1 025
Fri.
Apr 24
Aihua W. Wood - Air Force Institute of Technology
Apr 27, 4:40pm
Applied Mathematics - Colloquia - LS 152
Abstract: Stochastic particle methods (SPM) for the Boltzmann equation have gained popularity in recent years for the prediction of flows where continuous equations for fluid dynamics are not valid. Among SPMs, the Direct Simulation Monte Carlo (DSMC) methods have been the standard... read more
Mon.
Apr 27