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ALT
2003
Springer
15 years 1 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
66
Voted
SIAMMA
2010
97views more  SIAMMA 2010»
14 years 4 months ago
Small Volume Fraction Limit of the Diblock Copolymer Problem: I. Sharp-Interface Functional
We present the first of two articles on the small volume fraction limit of a nonlocal Cahn-Hilliard functional introduced to model microphase separation of diblock copolymers. Her...
Rustum Choksi, Mark A. Peletier
SIAMSC
2008
113views more  SIAMSC 2008»
14 years 9 months ago
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations
A novel approach to the X-ray tomography problem with sparse projection data is proposed. Non-negativity of the X-ray attenuation coefficient is enforced by modelling it as max{(x)...
Ville Kolehmainen, Matti Lassas, Samuli Siltanen
PACS
2004
Springer
172views Hardware» more  PACS 2004»
15 years 3 months ago
Safe Overprovisioning: Using Power Limits to Increase Aggregate Throughput
Management of power in data centers is driven by the need to not exceed circuit capacity. The methods employed in the oversight of these power circuits are typically static and ad...
Mark E. Femal, Vincent W. Freeh
APGV
2007
ACM
104views Visualization» more  APGV 2007»
15 years 1 months ago
On the empirical limits of billboard rotation
This paper describes an experiment investigating for the first time, the perceptual tolerance of inconsistent projections when rotated billboards are transformed and included in a...
Elodie Fourquet, William Cowan, Stephen Mann