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CIKM
2010
Springer
14 years 8 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
SIGIR
2011
ACM
14 years 14 days ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
BMCBI
2006
98views more  BMCBI 2006»
14 years 9 months ago
Optimised amino acid specific weighting factors for unbound protein docking
Background: One of the most challenging aspects of protein-protein docking is the inclusion of flexibility into the docking procedure. We developed a postfilter where the grid-rep...
Philipp Heuser, Dietmar Schomburg
BMCBI
2010
122views more  BMCBI 2010»
14 years 9 months ago
Simultaneous prediction of transcription factor binding sites in a group of prokaryotic genomes
Background: Our current understanding of transcription factor binding sites (TFBSs) in sequenced prokaryotic genomes is very limited due to the lack of an accurate and efficient c...
Shaoqiang Zhang, Shan Li, Phuc T. Pham, Zhengchang...