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NIPS
2004
13 years 9 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
USS
2008
13 years 10 months ago
Highly Predictive Blacklisting
The notion of blacklisting communication sources has been a well-established defensive measure since the origins of the Internet community. In particular, the practice of compilin...
Jian Zhang, Phillip A. Porras, Johannes Ullrich
MASCOTS
2008
13 years 9 months ago
Evaluating the Effectiveness of Information Extraction in Real-World Storage Management
As storage deployments within enterprises continue to grow, there is an increasing need to simplify and automate. Existing tools for automation rely on extracting information in t...
Aameek Singh, Sandeep Uttamchandani, Yin Wang
AUSAI
2009
Springer
14 years 6 days ago
Ensemble Approach for the Classification of Imbalanced Data
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
BMCBI
2007
126views more  BMCBI 2007»
13 years 8 months ago
High-throughput identification of interacting protein-protein binding sites
Background: With the advent of increasing sequence and structural data, a number of methods have been proposed to locate putative protein binding sites from protein surfaces. Ther...
Jo-Lan Chung, Wei Wang, Philip E. Bourne