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» On the Use of Evidence in Neural Networks
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ECAL
2007
Springer
15 years 7 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão
JMLR
2012
13 years 4 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
SOFTCO
2004
Springer
15 years 7 months ago
MultiNNProm: A Multi-Classifier System for Finding Genes
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
Romesh Ranawana, Vasile Palade
ECAI
1998
Springer
15 years 6 months ago
The Neural Path to Dialogue Acts
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
M. Kipp
CEC
2003
IEEE
15 years 7 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage