http://smartech.gatech.edu The SMARTech digital repository system captures, stores, indexes, preserves, and distributes digital research material. Search the Channel search http://smartech.gatech.edu/simple-search http://smartech.gatech.edu/handle/1853/31224 Title: Feasibility and Technology Options for CO₂ Capture From Transportation and Distributed Sources <br/> <br/>Authors: Fedorov, Andrei G. <br/> <br/>Description: 2009 program of the “Open Forum on Energy and the Environment”, presented on November 5, 2009, from 4:30 PM-6:00 PM in room L1255, Ford Environmental Science & Technology Building (ES&T) on the Georgia Tech campus. http://smartech.gatech.edu/handle/1853/31223 Title: Deep Impact <br/> <br/>Authors: Lynch, Courtney <br/> <br/>Description: Exhibited in the Library East Commons Exhibition Gallery spring semester 2009. Resulted from Professor Allison Whitney's poster assignment for ENGL1102 - English Composition II - Science Fiction – Image, Sound, Text, an undergraduate course offered in the School of Literature, Communication and Culture (LCC). http://smartech.gatech.edu/handle/1853/31222 Title: Learning Submodular Functions <br/> <br/>Authors: Balcan, Maria-Florina; Harvey, Nicholas J. A. <br/> <br/>Abstract: This paper considers the problem of learning submodular functions. A problem instance consists of a distribution on {0,1}[superscript n] and a real-valued function on {0,1}[superscript n] that is non-negative, monotone and submodular. We are given poly(n) samples from this distribution, along with the values of the function at those sample points. The task is to approximate the value of the function to within a multiplicative factor at subsequent sample points drawn from the distribution, with sufficiently high probability. We prove several results for this problem. • There is an algorithm that, for any distribution, approximates any such function to within a factor of √n on a set of measure 1 − ϵ. • There is a distribution and a family of functions such that no algorithm can approximate those functions to within a factor of Õ(n[superscript 1/3]) on a set of measure 1/2 + ϵ. • If the function is a matroid rank function and the distribution is a product distribution then there is an algorithm that approximates it to within a factor O (log(1/ϵ)) on a set of measure 1 − ϵ. Our study involves a twist on the usual learning theory models and uncovers some interesting extremal properties of submodular functions. http://smartech.gatech.edu/handle/1853/31221 Title: The Music of Science <br/> <br/>Authors: Ludovice, Peter J.; Hunt, William D.; Harvey, Steve <br/> <br/>Abstract: We’ll be joined by our friend and former guest Steve Harvey from the School of Biology here at Georgia Tech. We will be listening to some of the music from a new album entitled “Here Comes Science” by the group They Might Be Giants and other music about science that will make you wonder why we don’t have a Science category at the Grammy Awards.