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ICPR
2000
IEEE
16 years 27 days ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
WWW
2008
ACM
16 years 15 days ago
IRLbot: scaling to 6 billion pages and beyond
This paper shares our experience in designing a web crawler that can download billions of pages using a single-server implementation and models its performance. We show that with ...
Hsin-Tsang Lee, Derek Leonard, Xiaoming Wang, Dmit...
WWW
2004
ACM
16 years 15 days ago
Dynamic assembly of learning objects
This paper describes one solution to the problem of how to select sequence, and link Web resources into a coherent, focused organization for instruction that addresses a user'...
Robert G. Farrell, Soyini D. Liburd, John C. Thoma...
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
16 years 13 days ago
Intrinsic robustness of the price of anarchy
The price of anarchy (POA) is a worst-case measure of the inefficiency of selfish behavior, defined as the ratio of the objective function value of a worst Nash equilibrium of a g...
Tim Roughgarden
POPL
2005
ACM
16 years 4 days ago
Enterprise privacy promises and enforcement
Several formal languages have been proposed to encode privacy policies, ranging from the Platform for Privacy Preferences (P3P), intended for communicating privacy policies to con...
Adam Barth, John C. Mitchell