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» Methods for boosting recommender systems
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IWPC
2009
IEEE
14 years 2 months ago
Who can help me with this change request?
An approach to recommend a ranked list of developers to assist in performing software changes given a textual change request is presented. The approach employs a two-fold strategy...
Huzefa H. Kagdi, Denys Poshyvanyk
MCS
2009
Springer
14 years 2 months ago
Improved Uniformity Enforcement in Stochastic Discrimination
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
Matthew Prior, Terry Windeatt
IEICET
2010
124views more  IEICET 2010»
13 years 2 months ago
Fast Polar and Spherical Fourier Descriptors for Feature Extraction
Polar Fourier Descriptor(PFD) and Spherical Fourier Descriptor(SFD) are rotation invariant feature descriptors for two dimensional(2D) and three dimensional(3D) image retrieval an...
Zhuo Yang, Sei-ichiro Kamata
SIGIR
2008
ACM
13 years 7 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
ATAL
2007
Springer
14 years 1 months ago
A complete distributed constraint optimization method for non-traditional pseudotree arrangements
Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multi-agent systems. Several current algorithms that solve general DCOP instan...
James Atlas, Keith Decker