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» Approximate data mining in very large relational data
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AAAI
2010
13 years 8 months ago
Informed Lifting for Message-Passing
Lifted inference, handling whole sets of indistinguishable objects together, is critical to the effective application of probabilistic relational models to realistic real world ta...
Kristian Kersting, Youssef El Massaoudi, Fabian Ha...
BMCBI
2010
154views more  BMCBI 2010»
13 years 7 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
PRL
2007
138views more  PRL 2007»
13 years 6 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
RECOMB
2007
Springer
14 years 7 months ago
An Efficient and Accurate Graph-Based Approach to Detect Population Substructure
Currently, large-scale projects are underway to perform whole genome disease association studies. Such studies involve the genotyping of hundreds of thousands of SNP markers. One o...
Srinath Sridhar, Satish Rao, Eran Halperin
ICDCS
2008
IEEE
14 years 1 months ago
PFC: Transparent Optimization of Existing Prefetching Strategies for Multi-Level Storage Systems
The multi-level storage architecture has been widely adopted in servers and data centers. However, while prefetching has been shown as a crucial technique to exploit the sequentia...
Zhe Zhang, Kyuhyung Lee, Xiaosong Ma, Yuanyuan Zho...