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» Learning from Highly Structured Data by Decomposition
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JCB
2006
185views more  JCB 2006»
14 years 12 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
IMSCCS
2007
IEEE
15 years 6 months ago
Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules
Background: Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cy...
Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. ...
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
15 years 5 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li
UMUAI
2010
136views more  UMUAI 2010»
14 years 10 months ago
Towards affective camera control in games
Information about interactive virtual environments, such as games, is perceived by users through a virtual camera. While most interactive applications let users control the camera,...
Georgios N. Yannakakis, Héctor Perez Mart&i...
CF
2006
ACM
15 years 5 months ago
Exploiting locality to ameliorate packet queue contention and serialization
Packet processing systems maintain high throughput despite relatively high memory latencies by exploiting the coarse-grained parallelism available between packets. In particular, ...
Sailesh Kumar, John Maschmeyer, Patrick Crowley