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» A Genetic Algorithm for Clustering on Very Large Data Sets
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NIPS
2007
13 years 9 months ago
Learning Bounds for Domain Adaptation
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
John Blitzer, Koby Crammer, Alex Kulesza, Fernando...
BMCBI
2011
12 years 11 months ago
The Proteogenomic Mapping Tool
Background: High-throughput mass spectrometry (MS) proteomics data is increasingly being used to complement traditional structural genome annotation methods. To keep pace with the...
William S. Sanders, Nan Wang, Susan M. Bridges, Br...
AGENTS
2000
Springer
13 years 12 months ago
Adaptivity in agent-based routing for data networks
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
David Wolpert, Sergey Kirshner, Christopher J. Mer...
CAV
2010
Springer
239views Hardware» more  CAV 2010»
13 years 11 months ago
Model Checking of Linearizability of Concurrent List Implementations
Abstract. Concurrent data structures with fine-grained synchronization are notoriously difficult to implement correctly. The difficulty of reasoning about these implementations do...
Pavol Cerný, Arjun Radhakrishna, Damien Zuf...
KDD
2008
ACM
116views Data Mining» more  KDD 2008»
14 years 8 months ago
Volatile correlation computation: a checkpoint view
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
Wenjun Zhou, Hui Xiong