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AGILEDC
2009
IEEE
15 years 11 months ago
Fully Distributed Scrum: Linear Scalability of Production between San Francisco and India
—The Scrum software development framework was designed for the hyperproductive state where productivity increases by 5-10 times over waterfall teams and many colocated teams have...
Jeff Sutherland, Guido Schoonheim, N. Kumar, V. Pa...
ACL
2006
15 years 6 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
BMCBI
2010
97views more  BMCBI 2010»
15 years 4 months ago
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear a
Background: Protein kinases play crucial roles in cell growth, differentiation, and apoptosis. Abnormal function of protein kinases can lead to many serious diseases, such as canc...
Maris Lapinsh, Jarl E. S. Wikberg
WINE
2010
Springer
164views Economy» more  WINE 2010»
15 years 2 months ago
Incentives in Online Auctions via Linear Programming
Online auctions in which items are sold in an online fashion with little knowledge about future bids are common in the internet environment. We study here a problem in which an auc...
Niv Buchbinder, Kamal Jain, Mohit Singh
177
Voted
TSP
2010
14 years 11 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...