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ICPR
2000
IEEE
14 years 9 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
JPDC
2006
85views more  JPDC 2006»
13 years 8 months ago
Provable algorithms for parallel generalized sweep scheduling
We present provably efficient parallel algorithms for sweep scheduling, which is a commonly used technique in Radiation Transport problems, and involves inverting an operator by i...
V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Pa...
POPL
2008
ACM
14 years 8 months ago
Automatic inference of stationary fields: a generalization of java's final fields
Java programmers can document that the relationship between two objects is unchanging by declaring the field that encodes that relationship to be final. This information can be us...
Christopher Unkel, Monica S. Lam
AOSD
2008
ACM
13 years 10 months ago
AJANA: a general framework for source-code-level interprocedural dataflow analysis of AspectJ software
Aspect-oriented software presents new challenges for the designers of static analyses. Our work aims to establish systematic foundations for dataflow analysis of AspectJ software....
Guoqing Xu, Atanas Rountev
STOC
2004
ACM
157views Algorithms» more  STOC 2004»
14 years 8 months ago
Derandomizing homomorphism testing in general groups
The main result of this paper is a near-optimal derandomization of the affine homomorphism test of Blum, Luby and Rubinfeld (Journal of Computer and System Sciences, 1993). We sho...
Amir Shpilka, Avi Wigderson