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ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 8 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
JCST
2010
198views more  JCST 2010»
13 years 3 months ago
Certification of Thread Context Switching
With recent efforts to build foundational certified software systems, two different approaches have been proposed to certify thread context switching. One is to certify both thread...
Yu Guo, Xinyu Jiang, Yiyun Chen
VLDB
2006
ACM
171views Database» more  VLDB 2006»
14 years 9 months ago
Grid-partition index: a hybrid method for nearest-neighbor queries in wireless location-based services
Abstract Traditional nearest-neighbor (NN) search is based on two basic indexing approaches: object-based indexing and solution-based indexing. The former is constructed based on t...
Baihua Zheng, Jianliang Xu, Wang-Chien Lee, Dik Lu...
BMCBI
2004
208views more  BMCBI 2004»
13 years 8 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
OOPSLA
2010
Springer
13 years 7 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...