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» How to process uncertainty in machine learning
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USS
2010
13 years 6 months ago
Acoustic Side-Channel Attacks on Printers
We examine the problem of acoustic emanations of printers. We present a novel attack that recovers what a dotmatrix printer processing English text is printing based on a record o...
Michael Backes, Markus Dürmuth, Sebastian Ger...
CISIS
2011
IEEE
12 years 8 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
NIPS
1998
13 years 10 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
ERCIMDL
2003
Springer
116views Education» more  ERCIMDL 2003»
14 years 2 months ago
Connecting Interface Metaphors to Support Creation of Path-Based Collections
Abstract. Walden’s Paths is a suite of tools that supports the creation and presentation of linear hypermedia paths—targeted collections that enable authors to reorganize and c...
Unmil Karadkar, Andruid Kerne, Richard Furuta, Lui...
SIGIR
1999
ACM
14 years 1 months ago
Information Retrieval as Statistical Translation
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Adam L. Berger, John D. Lafferty