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CLEIEJ
2007
152views more  CLEIEJ 2007»
15 years 6 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
AI
1998
Springer
15 years 10 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
ICANN
1997
Springer
15 years 10 months ago
Real-Time Analog VLSI Sensors for 2-D Direction of Motion
Optical ow elds are a primary source of information about the visual scene in technical and biological systems. In a step towards a system for real time scene analysis we have deve...
Rainer A. Deutschmann, Charles M. Higgins, Christo...
SEMWEB
2009
Springer
16 years 1 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross trainingâ€...
Yefei Peng, Paul W. Munro, Ming Mao
ICAI
2009
15 years 4 months ago
Learning Mappings with Neural Network
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
Yefei Peng, Paul W. Munro