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ICPR
2000
IEEE
16 years 7 months 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 6 months 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 6 months 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 6 months 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
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 6 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...