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IJCNN
2006
IEEE
16 years 24 days ago
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
— We present a simple, intuitive argument based on “invariant imbedding” in the spirit of dynamic programming to derive a stagewise second-order backpropagation (BP) algorith...
Eiji Mizutani, Stuart Dreyfus
JVA
2006
IEEE
16 years 23 days ago
Describing and Researching of Learning Resources with Ontology Model
In this paper, we will introduce to describe learning resources by using ontology model based on metadata of learning standard as Sharable Content Object Reference Model (SCORM) a...
S. Niwattanakul, M. Eboueya, D. Lillis
ACMSE
2005
ACM
16 years 9 days ago
Acquiring and delivering lessons learned for NASA scientists and engineers: a dynamic approach
Web forms are a common mechanism for collecting information online. They pose some limitations which negatively affect ease and flexibility of user interaction. These limitations ...
Swapna Gupta, J. Scott Hawker, Randy K. Smith
DNA
2005
Springer
118views Bioinformatics» more  DNA 2005»
16 years 8 days ago
Molecular Learning of wDNF Formulae
We introduce a class of generalized DNF formulae called wDNF or weighted disjunctive normal form, and present a molecular algorithm that learns a wDNF formula from training example...
Byoung-Tak Zhang, Ha-Young Jang
ECSQARU
2001
Springer
15 years 11 months ago
The Search of Causal Orderings: A Short Cut for Learning Belief Networks
Abstract. Although we can build a belief network starting from any ordering of its variables, its structure depends heavily on the ordering being selected: the topology of the netw...
Silvia Acid, Luis M. de Campos, Juan F. Huete