Accuracy study of parking duration data from patrol survey Jin Cao, IVT, ETH Monica Menendez, IVT, ETH Conference paper STRC 2012

Source URL: www.strc.ch

• Statistics
• Mathematical analysis
• Survey methodology
• Biostatistics
• Sampling
• Probability distribution
• Accuracy and precision
• Exponential distribution
• Bond duration
• Parking
• Surveying

An Improved Exponential-Time Algorithm for k-SAT RAMAMOHAN PATURI University of California San Diego, La Jolla, California ´ PAVEL PUDLAK

Source URL: cseweb.ucsd.edu

Exponential decay for the fragmentation or cell-division equation Benoˆıt Perthame∗ Lenya Ryzhik† October 15, 2004

Source URL: math.stanford.edu

Maximal surface area of a convex set in Rn with respect to exponential rotation invariant measures

Source URL: www.math.kent.edu

Abstracts of the talks at GTP 2014 CIMAT, Guanajuato, Mexico 13–15 November, 2014 Jacob Abernethy Information aggregation in exponential family markets (joint work with Sindhu Kutty, Sebastien Lahaie, and Rahul Sami)

Source URL: www.probabilityandfinance.com

S´eminaire de g´eom´etrie alg´ebrique de Rennes 1 Expos´e du jeudi 7 mai 2015 BOUNDS FOR P-ADIC EXPONENTIAL SUMS AND LOG-CANONICAL THRESHOLDS

Source URL: webmath.univ-rennes1.fr

OneCloud Recovery™ for Amazon AWS Today’s enterprises are facing exponential growth in data and applications under management, which makes traditional disaster recovery (DR) programs difficult to maintain and prohibi

Source URL: www.onecloudsoftware.com

On the Proof Complexity of Cut-Free Bounded Deep Inference Anupam Das University of Bath Abstract. It has recently been shown that cut-free deep inference systems exhibit an exponential speed-up over cut-free sequent sy

Source URL: www.anupamdas.com

Journal of Number Theory – 199 www.elsevier.com/locate/jnt Incomplete quadratic exponential sums in several variables Eduardo Dueñeza , Steven J. Millerb,∗ , Amitabha Royc ,

Source URL: www.cs.bc.edu

One coordinate at a time • Adaboost performs gradient descent on exponential loss • Adds one coordinate (“weak learner”) at each iteration. • Weak learning in binary classification = slightly better than random

Source URL: seed.ucsd.edu