Description We discuss ideas for a new adaptive algorithm that will enable us to tackle the problems of moving boundaries and fluid-surface interactions. This algorithm combines the flexibility and...
SpeakerJinbo XuToyota Technological Institutehttp://ttic.uchicago.edu/~jinbo/ Description Given the primary sequence of a protein, can we predict its three-dimensional structure by computational...
SpeakerJunhui WangUniversity of Illinois - Â鶹APPhttp://www.math.uic.edu/people/profile?mscsid=jwang Description In classification, semi-supervised learning occurs when a large amount of unlabeled...
Description Classification is a very useful statistical tool for information extraction. Among numerous classification methods, margin-based classification techniques have attracted a lot of attention...
SpeakerPatrick CheriditoPrinceton Universityhttp://www.princeton.edu/~dito/ Description Conditions are given for the existence and uniqueness of equilibria in incomplete dynamic market models when...
Description The theories for radial basis functions (RBFs) as well as piecewise polynomial splines have now reached a stage of relative maturity as is demonstrated by the recent publication of a...
Description Gaussian processes, such as Brownian motion, have been widely used in modeling fluctuations, while some complex phenomena in engineering and science involve non-Gaussian Levy motions. Thus...
Description A multiscale model of blood clot formation will be described which combines a detailed tissue factor pathway submodel of blood coagulation, a blood flow submodel and a stochastic discrete...
Description The Gaussian kernel is a popular choice for radial basis function approximation. For a fixed dimension, the error decays exponentially with sample size. However, the leading coefficient of...
SpeakerViktor TodorovNorthwestern Universityhttp://www.kellogg.northwestern.edu/faculty/todorov/htm/ Description We introduce a new measure constructed from high-frequency financial data which we call...
