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» On the Use of Evidence in Neural Networks
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NIPS
1997
15 years 2 months ago
Relative Loss Bounds for Multidimensional Regression Problems
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
Jyrki Kivinen, Manfred K. Warmuth
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 2 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
AROBOTS
2010
180views more  AROBOTS 2010»
15 years 1 months ago
Reactive direction control for a mobile robot: a locust-like control of escape direction emerges when a bilateral pair of model
Locusts possess a bilateral pair of uniquely identifiable visual neurons that respond vigorously to the image of an approaching object. These neurons are called the lobula giant m...
Shigang Yue, Roger D. Santer, Yoshifumi Yamawaki, ...
BMCBI
2008
116views more  BMCBI 2008»
15 years 1 months ago
IgTM: An algorithm to predict transmembrane domains and topology in proteins
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
Piedachu Peris, Damián López, Marcel...
97
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BMCBI
2006
82views more  BMCBI 2006»
15 years 1 months ago
Selection of antisense oligonucleotides based on multiple predicted target mRNA structures
Background: Local structures of target mRNAs play a significant role in determining the efficacies of antisense oligonucleotides (ODNs), but some structure-based target site selec...
Xiaochen Bo, Shaoke Lou, Daochun Sun, Wenjie Shu, ...