227 search results - page 30 / 46 » A new look at state-space models for neural data |
NIPS
1998
13 years 11 months ago
1998
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
CLEIEJ
2007
13 years 10 months ago
2007
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...
ICIC
2007
Springer
14 years 4 months ago
2007
Springer
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
NIPS
2008
13 years 11 months ago
2008
In this paper we propose a new incremental spike sorting model that automatically eliminates refractory period violations, accounts for action potential waveform drift, and can ha...