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2009
IEEE
14 years 3 months ago
Scalable I/O forwarding framework for high-performance computing systems
—Current leadership-class machines suffer from a significant imbalance between their computational power and their I/O bandwidth. While Moore’s law ensures that the computatio...
Nawab Ali, Philip H. Carns, Kamil Iskra, Dries Kim...
ESCIENCE
2006
IEEE
14 years 8 days ago
Designing Workflow Components for e-Science
In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We s...
Frank Terpstra, Pieter W. Adriaans
ATAL
2009
Springer
14 years 3 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
CCS
2006
ACM
14 years 10 days ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
CHI
2006
ACM
14 years 9 months ago
Tableau machine: an alien presence in the home
Research in Ambient Intelligence and Ubiquitous Computing has put computational devices into many social settings while leaving intact much of the "task support and informati...
Mario Romero, Zachary Pousman, Michael Mateas