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» Structural Learning of Activities from Sparse Datasets
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ICMLA
2010
13 years 6 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson
JMLR
2008
100views more  JMLR 2008»
13 years 8 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
ECCV
2010
Springer
13 years 11 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
IUI
1997
ACM
14 years 1 months ago
Inductive Task Modeling for User Interface Customization
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...
David Maulsby
BMCBI
2007
144views more  BMCBI 2007»
13 years 9 months ago
Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study an
Background: Efforts to predict functional sites from globular proteins is increasingly common; however, the most successful of these methods generally require structural insight. ...
Dennis R. Livesay, Patrick D. Kidd, Sepehr Eskanda...