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ECML
2006
Springer
15 years 10 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
ICFP
1997
ACM
15 years 10 months ago
The Effectiveness of Flow Analysis for Inlining
An interprocedural flow analysis can justify inlining in higher-order languages. In principle, more inlining can be performed as analysis accuracy improves. This paper compares fo...
J. Michael Ashley
152
Voted
DEXA
2008
Springer
87views Database» more  DEXA 2008»
15 years 8 months ago
Tracking Moving Objects in Anonymized Trajectories
Multiple target tracking (MTT) is a well-studied technique in the field of radar technology, which associates anonymized measurements with the appropriate object trajectories. This...
Nikolay Vyahhi, Spiridon Bakiras, Panos Kalnis, Ga...
153
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AAAI
2006
15 years 8 months ago
Quantifying Incentive Compatibility of Ranking Systems
Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about multi-agent ...
Alon Altman, Moshe Tennenholtz
180
Voted
NIPS
2004
15 years 8 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