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» Dynamical models of sentence processing
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143
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IPSN
2004
Springer
15 years 9 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
IJCNN
2007
IEEE
15 years 10 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
140
Voted
WEBI
2007
Springer
15 years 10 months ago
Blog Community Discovery and Evolution Based on Mutual Awareness Expansion
There are information needs involving costly decisions that cannot be efficiently satisfied through conventional web search engines. Alternately, community centric search can prov...
Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun'ichi Tatemu...
EMNLP
2011
14 years 4 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
BMCBI
2006
89views more  BMCBI 2006»
15 years 4 months ago
A joint model for nonparametric functional mapping of longitudinal trajectory and time-to-event
Background: The characterization of the relationship between a longitudinal response process and a time-to-event has been a pressing challenge in biostatistical research. This has...
Min Lin, Rongling Wu