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» A Boosting Algorithm for Regression
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BMCBI
2006
111views more  BMCBI 2006»
14 years 11 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
IPM
2008
100views more  IPM 2008»
14 years 11 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
SIGIR
2008
ACM
14 years 11 months ago
Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces
Efficient similarity search in high-dimensional spaces is important to content-based retrieval systems. Recent studies have shown that sketches can effectively approximate L1 dist...
Wei Dong, Moses Charikar, Kai Li
CIKM
2010
Springer
14 years 9 months ago
On the selectivity of multidimensional routing indices
Recently, the problem of efficiently supporting advanced query operators, such as nearest neighbor or range queries, over multidimensional data in widely distributed environments...
Christos Doulkeridis, Akrivi Vlachou, Kjetil N&osl...
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 9 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu