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» The Cascade-Correlation Learning Architecture
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CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 2 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...
DAC
2004
ACM
14 years 8 months ago
On path-based learning and its applications in delay test and diagnosis
Li-C. Wang, T. M. Mak, Kwang-Ting Cheng, Magdy S. ...
ICONIP
2004
13 years 9 months ago
Collaborative Agent Learning Using Neurocomputing
In this paper we investigate techniques to train an agent to accomplish certain tasks. Artificial Neural Networks will be the technique used to the train the agent. This paper will...
Saulat Farooque, Ajith Abraham, Lakhmi C. Jain
3DOR
2010
13 years 2 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
ICSE
1999
IEEE-ACM
13 years 12 months ago
Exploiting ADLs to Specify Architectural Styles Induced by Middleware Infrastructures
Architecture Definition Languages (ADLs) enable the formalization of the architecture of software systems and the execution of preliminary analyses on them. These analyses aim at...
Elisabetta Di Nitto, David S. Rosenblum