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CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 8 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
BMCBI
2007
163views more  BMCBI 2007»
13 years 8 months ago
Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
Carmen Pin, Mark Reuter
ISPA
2005
Springer
14 years 2 months ago
Implementation of Cooperative Cognition Under Web Environment
Since cognition could be treated as problem-solving issues based on dynamical knowledge transferring and propagation, the meta-learning and group learning are put forward in confor...
Wan-Chun Dou, Guihai Chen, Feng Su, Shijie Cai
ICCV
2007
IEEE
14 years 10 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ISCI
2007
170views more  ISCI 2007»
13 years 8 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke