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IDA
1997
Springer
13 years 11 months ago
How to Find Big-Oh in Your Data Set (and How Not to)
The empirical curve bounding problem is de ned as follows. Suppose data vectors X Y are presented such that E(Y i]) = f(X i]) where f(x) is an unknown function. The problem is to a...
Catherine C. McGeoch, Doina Precup, Paul R. Cohen
INTERACT
2003
13 years 9 months ago
How Do People Get Back to Information on the Web? How Can They Do It Better?
: In one study, people are observed to keep web information for later use through many different methods including the use of Bookmarks (or Favorites), self-addressed email, hand-w...
William P. Jones, Harry Bruce, Susan T. Dumais
CVPR
2000
IEEE
14 years 9 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
JOCN
2010
103views more  JOCN 2010»
13 years 2 months ago
Functional Neuroimaging Can Support Causal Claims about Brain Function
Cognitive neuroscientists habitually deny that functional neuroimaging can furnish causal information about the relationship between brain events and behavior. However, imaging st...
Matthew J. Weber, Sharon L. Thompson-Schill
ISW
2004
Springer
14 years 27 days ago
How to Break and Repair a Universally Composable Signature Functionality
Abstract. Canetti and Rabin recently proposed a universally composable ideal functionality FSIG for digital signatures. We show that this functionality cannot be securely realized ...
Michael Backes, Dennis Hofheinz