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IJCV
2000
133views more  IJCV 2000»
15 years 6 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
IJON
2000
105views more  IJON 2000»
15 years 6 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
CIKM
2010
Springer
15 years 5 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
IHI
2010
106views Healthcare» more  IHI 2010»
15 years 1 months ago
Identifying opportunities for inpatient-centric technology
The evolution from a disease-centered model of care to a more patient-centered model presents opportunities for going beyond designing technology to support medical professionals ...
Meredith M. Skeels, Desney S. Tan
AAAI
2011
14 years 6 months ago
The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species
The conservation of wildlife corridors between existing habitat preserves is important for combating the effects of habitat loss and fragmentation facing species of concern. We in...
Katherine J. Lai, Carla P. Gomes, Michael K. Schwa...