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» Generalization Bounds for Learning Kernels
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JMLR
2010
135views more  JMLR 2010»
13 years 5 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
ESEM
2010
ACM
13 years 5 months ago
Exploring the use of crowdsourcing to support empirical studies in software engineering
The power and the generality of the findings obtained through empirical studies are bounded by the number and type of participating subjects. In software engineering, obtaining a ...
Kathryn T. Stolee, Sebastian G. Elbaum
CHI
2011
ACM
12 years 11 months ago
Playable data: characterizing the design space of game-y infographics
This work explores the intersection between infographics and games by examining how to embed meaningful visual analytic interactions into game mechanics that in turn impact user b...
Nicholas Diakopoulos, Funda Kivran-Swaine, Mor Naa...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
13 years 11 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
AAAI
2008
13 years 9 months ago
A Theory of Expressiveness in Mechanisms
A key trend in (electronic) commerce is a demand for higher levels of expressiveness in the mechanisms that mediate interactions. We develop a theory that ties the expressiveness ...
Michael Benisch, Norman M. Sadeh, Tuomas Sandholm