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2005 Special issue: Recursive principal components analysis
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Linear recursive distributed representations
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ECML '07 Proceedings of the 18th European conference on Machine Learning
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ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
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ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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We show how a family of exact solutions to the Recursive Principal Components Analysis learning problem can be computed for sequences and tree structured inputs. These solutions are derived from eigenanalysis of extended vectorial representations of the input structures and substructures. Experimental results performed on sequences and trees generated by a context-free grammar show the effectiveness of the proposed approach.