Maximum Echo-State-Likelihood Networks for Emotion Recognition
نویسندگان
چکیده
Maximum Echo-State-Likelihood Networks for Emotion Recognition Edmondo Trentin, Stefan Scherer, aand Friedhelm Schwenker Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysis Tsuneyoshi Ishii and Shigeo Abe Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers Rakkrit Duangsoithong and Terry Windeatt A New Monte Carlo-based Error Rate Estimator Ahmed Hefny and Amir Atiya 11:10 Coffee Break
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The copula echo state network
Echo state networks (ESNs) constitute a novel approach to recurrent neural network (RNN) training, with an RNN (the reservoir) being generated randomly, and only a readout being trained using a simple, computationally efficient algorithm. ESNs have greatly facilitated the practical application of RNNs, outperforming classical approaches on a number of benchmark tasks. This paper studies the for...
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