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ICPR
2000
IEEE
16 years 28 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 16 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 16 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 14 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
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 8 days 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...