Related references
Note: Only part of the references are listed.Reconciling modern machine-learning practice and the classical bias-variance trade-off
Mikhail Belkin et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Echo State vs. LSTM Networks for Word Sense Disambiguation
Alexander Popov et al.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019)
Echo State Networks for Named Entity Recognition
Rajkumar Ramamurthy et al.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019)
Interactive natural language acquisition in a multi-modal recurrent neural architecture
Stefan Heinrich et al.
CONNECTION SCIENCE (2018)
Echo State Network for Word Sense Disambiguation
Petia Koprinkova-Hristova et al.
ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, AND APPLICATIONS, AIMSA 2018 (2018)
Neural Network Models for Word Sense Disambiguation: An Overview
Alexander Popov
CYBERNETICS AND INFORMATION TECHNOLOGIES (2018)
Bidirectional reservoir networks trained using SVM privileged information for manufacturing process modeling
Ali Rodan et al.
SOFT COMPUTING (2017)
Advances in Biologically Inspired Reservoir Computing
Simone Scardapane et al.
COGNITIVE COMPUTATION (2017)
Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex
Pierre Enel et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
Large Vocabulary Continuous Speech Recognition With Reservoir-Based Acoustic Models
Fabian Triefenbach et al.
IEEE SIGNAL PROCESSING LETTERS (2014)
Acoustic Modeling With Hierarchical Reservoirs
Fabian Triefenbach et al.
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2013)
Reservoir computing and extreme learning machines for non-linear time-series data analysis
J. B. Butcher et al.
NEURAL NETWORKS (2013)
Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing
Xavier Hinaut et al.
PLOS ONE (2013)
Reservoir computing approaches to recurrent neural network training
Mantas Lukosevicius et al.
COMPUTER SCIENCE REVIEW (2009)
Learning grammatical structure with Echo State Networks
Matthew H. Tong et al.
NEURAL NETWORKS (2007)
Recursive least squares constant modulus algorithm for blind adaptive array
YX Chen et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2004)
Real-time computing without stable states:: A new framework for neural computation based on perturbations
W Maass et al.
NEURAL COMPUTATION (2002)