✦ LIBER ✦

The copula echo state network

✍ Scribed by Sotirios P. Chatzis; Yiannis Demiris

Book ID: 113840122
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 598 KB
Volume: 45
Category: Article
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2011.06.022

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Balanced echo state networks

✍ Danil Koryakin; Johannes Lohmann; Martin V. Butz 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 642 KB

Modeling deterministic echo state networ

Modeling deterministic echo state network with loop reservoir

✍ Xiao-chuan Sun, Hong-yan Cui, Ren-ping Liu, Jian-ya Chen, Yun-jie Liu 📂 Article 📅 2012 🏛 SP Zhejiang University Press 🌐 English ⚖ 977 KB

Learning grammatical structure with Echo

Learning grammatical structure with Echo State Networks

✍ Matthew H. Tong; Adam D. Bickett; Eric M. Christiansen; Garrison W. Cottrell 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 734 KB

Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. However, their performance on natural language tasks has been largely unexplored until now. Simple Recurrent Networks (SRNs) ha

Special issue on echo state networks and

Special issue on echo state networks and liquid state machines

✍ Herbert Jaeger; Wolfgang Maass; Jose Principe 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 125 KB

Architectural and Markovian factors of e

Architectural and Markovian factors of echo state networks

✍ Claudio Gallicchio; Alessio Micheli 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 669 KB

Echo State Networks (ESNs) constitute an emerging approach for efficiently modeling Recurrent Neural Networks (RNNs). In this paper we investigate some of the main aspects that can be accounted for the success and limitations of this class of models. In particular, we propose complementary classes o

Automatic speech recognition using a pre

Automatic speech recognition using a predictive echo state network classifier

✍ Mark D. Skowronski; John G. Harris 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 842 KB

We have combined an echo state network (ESN) with a competitive state machine framework to create a classification engine called the predictive ESN classifier. We derive the expressions for training the predictive ESN classifier and show that the model was significantly more noise robust compared to