Home »
Academic Articles & Research Papers
Showing 20 of 4,934 academic articles
Ehsan Fathi, Babak Maleki Shoja • Handbook of statistics
(2018)
OPENALEX
DOI: https://doi.org/10.1016/bs.host.2018.07.006
(2008)
Welcome to the 2008 Conference on Empirical Methods in Natural Language Processing! The conference is organized under the auspices of SIGDAT, the ACL Special Interest Group for linguistic data and corpus-based approaches to natural language...
OPENALEX
DOI: https://doi.org/10.3115/1613715
Mitchell P. Marcus • Proceedings of the National Academy of Sciences
(1995)
The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. R...
OPENALEX
Open Access
DOI: https://doi.org/10.1073/pnas.92.22.10052
PMC: 40734
Nils J. Nilsson • Cambridge University Press eBooks
(2009)
B eyond pattern recognition of individual alphanumeric characters , whether they be of fixed font or handwritten, lies the problem of understanding strings of characters that form words, sentences, or larger assemblages of text in a “natura...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511819346.009
Tatwadarshi P. Nagarhalli, Vinod Moreshwar Vaze, Nirav Pravinsinh Rana • International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
(2021)
The recent times have seen unprecedented growth in research and development in the field of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning and Natural Language Processing. The new found excite...
OPENALEX
DOI: https://doi.org/10.1109/icicv50876.2021.9388380
Imane Guellil, Houda Saâdane, Faiçal Azouaou, Billel Gueni et al. • Journal of King Saud University - Computer and Information Sciences
(2019)
Arabic is recognised as the 4th most used language of the Internet. Arabic has three main varieties: (1) classical Arabic (CA), (2) Modern Standard Arabic (MSA), (3) Arabic Dialect (AD). MSA and AD could be written either in Arabic or in Ro...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jksuci.2019.02.006
Lourdes Agapito, Michael M. Bronstein, Carsten Rother • Lecture notes in computer science
(2015)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-16181-5
Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University)
(2016)
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During t...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1602.02830
Helmut Schmid • International Conference on Computational Linguistics
(1994)
Text corpora which are tagged with part-of-speech information are useful in many areas of linguistic research. In this paper, a new part-of-speech tagging method based on neural networks (Net- Tagger) is presented and its performance is com...
OPENALEX
Open Access
DOI: https://doi.org/10.3115/991886.991915
Peter L. Bartlett, Dylan J. Foster, Matus Telgarsky • arXiv (Cornell University)
(2017)
This paper presents a margin-based multiclass generalization bound for neural networks that scales with their margin-normalized "spectral complexity": their Lipschitz constant, meaning the product of the spectral norms of the weight matrice...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1706.08498
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee et al. • Artificial Intelligence Review
(2023)
Abstract Over the last decade, neural networks have reached almost every field of science and become a crucial part of various real world applications. Due to the increasing spread, confidence in neural network predictions has become more a...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s10462-023-10562-9
Kumpati S. Narendra, Snehasis Mukhopadhyay • IEEE Conference on Decision and Control (CDC)
(2005)
Some of the problems that arise in the control of nonlinear systems in the presence of uncertainty are considered. Multilayer neural networks and radial basis function networks are used in the design of identifiers and controllers, and grad...
OPENALEX
DOI: https://doi.org/10.1109/cdc.1992.371803
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra • arXiv (Cornell University)
(2015)
We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop. It regularises the weights by minimising a compression ...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1505.05424
Mark A. Kramer • Computers & Chemical Engineering
(1992)
OPENALEX
DOI: https://doi.org/10.1016/0098-1354(92)80051-a
Jonas Sigfrid Sjoberg, Håkan Hjalmarsson, Lennart Ljung A • IFAC Proceedings Volumes
(1994)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/s1474-6670(17)47737-8
Haim Sompolinsky • Physics Today
(1988)
A neural network is a large, highly interconnected assembly of simple elements. The elements, called neurons, are usually two-state devices that switch from one state to the other when their input exceeds a specific threshold value. In this...
OPENALEX
DOI: https://doi.org/10.1063/1.881142
Davide Chicco • Methods in molecular biology
(2020)
OPENALEX
DOI: https://doi.org/10.1007/978-1-0716-0826-5_3
George N. Bebis, Michael Georgiopoulos • IEEE Potentials
(1994)
One critical aspect neural network designers face today is choosing an appropriate network size for a given application. Network size involves in the case of layered neural network architectures, the number of layers in a network, the numbe...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/45.329294
Ian Parberry, Michael R. Garey, Albert R. Meyer • The MIT Press eBooks
(1994)
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how wel...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/1836.001.0001