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JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
AIEDAM
2008
114views more  AIEDAM 2008»
14 years 9 months ago
Design rationale: Researching under uncertainty
Rationale research in software development is a challenging area because while there is no shortage of advocates for its value, there is also no shortage of reasons for why rationa...
Janet E. Burge
GROUP
2003
ACM
15 years 2 months ago
Technology for boundaries
This paper presents a study of an organisation, which is undergoing a process transforming organisational and technological boundaries. In particular, we shall look at three kinds...
Susanne Bødker, Jannie Friis Kristensen, Ch...
ESA
2009
Springer
156views Algorithms» more  ESA 2009»
15 years 4 months ago
On Revenue Maximization in Second-Price Ad Auctions
Abstract. Most recent papers addressing the algorithmic problem of allocating advertisement space for keywords in sponsored search auctions assume that pricing is done via a first...
Yossi Azar, Benjamin E. Birnbaum, Anna R. Karlin, ...
TIT
1998
216views more  TIT 1998»
14 years 9 months ago
Data Compression and Harmonic Analysis
In this article we review some recent interactions between harmonic analysis and data compression. The story goes back of course to Shannon’s R(D) theory in the case of Gaussian...
David L. Donoho, Martin Vetterli, Ronald A. DeVore...