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KDD
2003
ACM
217views Data Mining» more  KDD 2003»
14 years 9 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
CORR
2010
Springer
101views Education» more  CORR 2010»
13 years 8 months ago
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
We develop a theory of online learning by defining several complexity measures. Among them are analogues of Rademacher complexity, covering numbers and fatshattering dimension fro...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
BMCBI
2008
83views more  BMCBI 2008»
13 years 9 months ago
Models of deletion for visualizing bacterial variation: an application to tuberculosis spoligotypes
Background: Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable...
Josephine F. Reyes, Andrew R. Francis, Mark M. Tan...
CIKM
2010
Springer
13 years 6 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
PERCOM
2006
ACM
14 years 8 months ago
Specification of a Functional Architecture for E-Learning Supported by Wireless Technologies
This paper proposes a distributed platform designed to support pervasive learning and interactivity on a university campus and to ease tasks related to learning and teaching. The ...
Philip Grew, Francesco Giudici, Elena Pagani