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» Estimating types in binaries using predictive modeling
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ICPP
2002
IEEE
13 years 10 months ago
Software Caching using Dynamic Binary Rewriting for Embedded Devices
A software cache implements instruction and data caching entirely in software. Dynamic binary rewriting offers a means to specialize the software cache miss checks at cache miss t...
Chad Huneycutt, Joshua B. Fryman, Kenneth M. Macke...
ISNN
2009
Springer
14 years 10 days ago
A New Instance-Based Label Ranking Approach Using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier
NIPS
2004
13 years 7 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
BMCBI
2006
102views more  BMCBI 2006»
13 years 5 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
IMC
2003
ACM
13 years 11 months ago
Predicting resource usage and estimation accuracy in an IP flow measurement collection infrastructure
This paper describes a measurement infrastructure used to collect detailed IP traffic measurements from an IP backbone. Usage, i.e, bytes transmitted, is determined from raw NetF...
Nick G. Duffield, Carsten Lund