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Academic Articles & Research Papers
Showing 20 of 57 academic articles
• The MIT Press eBooks
(1998)
Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have...
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DOI: https://doi.org/10.7551/mitpress/5704.001.0001
Sašo Džeroski, Luc De Raedt, Stefan Wrobel (2005)
This volume, which is also available online from http://www.machinelearning.org, contains the papers accepted for presentation at ICML-2005, the 22nd lnternational Conference on Machine Learning, which was held at the University of Bonn in ...
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Vincenzo Ambriola, Genoveffa Tortora • Series on software engineering and knowledge engineering
(1993)
The papers collected in this book were invited by the editors as tutorial courses or keynote speeches for the Fourth International Conference on Software Engineering and Knowledge Engineering. The book offers wide coverage of the main topic...
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DOI: https://doi.org/10.1142/2207
Hakan Erdogmus, BARRY W. BOEHM, Warren A. Harrison, Don J. Reifer et al. • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
(2002)
The field of software economics seeks to develop technical theories, guidelines, and practices of software development based on sound, established, and emerging models of value and value-creation---adapted to the domain of software developm...
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DOI: https://doi.org/10.1145/581441.581444
Sasu Tarkoma, Christian Esteve Rothenberg, Eemil Lagerspetz • IEEE Communications Surveys & Tutorials
(2011)
Many network solutions and overlay networks utilize probabilistic techniques to reduce information processing and networking costs. This survey article presents a number of frequently used and useful probabilistic techniques. Bloom filters ...
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DOI: https://doi.org/10.1109/surv.2011.031611.00024
Raees Ahmad Khan, Anushree Agrawal • CERN Document Server (European Organization for Nuclear Research)
(2014)
Software engineering is the art of war. So if you don't know how to wage a war, then the weapons are useless. Software engineering has become very important because of the impact of large, expensive software systems and the role of software...
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Jean François Allaire, Sylvain Chartier • Tutorials in Quantitative Methods for Psychology
(2007)
Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA) can be approximated ...
DOAJ
Open Access (DOAJ)
Kai-Wei Chang, Vinod M. Prabhakaran, Vicente Ordóñez • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2019)
Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...
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Nizar Y. Habash (2022)
The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL).This tutorial provides NLP/CL system developers and researchers (computer scientists a...
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DOI: https://doi.org/10.18653/v1/2022.emnlp-tutorials.2
Yoav Goldberg • Journal of Artificial Intelligence Research
(2016)
Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be ap...
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DOI: https://doi.org/10.1613/jair.4992
Prakash M. Nadkarni, Lucila Ohno-machado A, Wendy W. Chapman • Journal of the American Medical Informatics Association
(2011)
OBJECTIVES: To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. TARGET AUDIENCE: This tutorial targets the medical informatics generalist who has limited acquaintance with the principles be...
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Open Access
DOI: https://doi.org/10.1136/amiajnl-2011-000464
PMC: 3168328
Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision
(2009)
Over the last years, kernel methods have established themselves as powerful tools for computer vision researchers as well as for practitioners. In this tutorial, we give an introduction to kernel methods in computer vision from a geometric ...
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DOI: https://doi.org/10.1561/0600000027
Jungong Han, Ling Shao, Dong Xu, Jamie Shotton • IEEE Transactions on Cybernetics
(2013)
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor o...
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DOI: https://doi.org/10.1109/tcyb.2013.2265378
Peter Meer, B. Tordoff, P. H. S. Torr, C. Davidson et al. (2004)
ysis 1995, pages 191--208. AddisonWesley Longman, 1996. [116] R. H. Zamar. Robust estimation in the errors-in-variables model. Biometrika, 76:149-- 160, 1989. [117] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. ...
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Raidell Avello-Martínez, Abraham Prieto García • Edutec
(2025)
Visual servo control is a key robotic control technique that uses visual feedback to dynamically adjust movements. This study, conducted within the AIM@VET project, evaluates the effectiveness of a RoboDK-based lesson with 25 vocational stu...
DOAJ
Open Access (DOAJ)
DOI: 10.21556/edutec.2025.94.3955
Albert Nigrin • The MIT Press eBooks
(1993)
In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural network...
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DOI: https://doi.org/10.7551/mitpress/4923.001.0001
A.K. Jain, Jianchang Mao, K.M. Mohiuddin • Computer
(1996)
Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the arti...
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DOI: https://doi.org/10.1109/2.485891
Kevin L. Priddy, Paul E. Keller • SPIE eBooks
(2005)
This tutorial text provides the reader with an understanding of artificial neural networks (ANNs) and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed and th...
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DOI: https://doi.org/10.1117/3.633187
Siwei Yu, Jianwei Ma • Reviews of Geophysics
(2021)
Abstract Recently deep learning (DL), as a new data‐driven technique compared to conventional approaches, has attracted increasing attention in geophysical community, resulting in many opportunities and challenges. DL was proven to have the...
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DOI: https://doi.org/10.1029/2021rg000742
James Bergstra, Frédéric Bastien, Olivier Breuleux, Pascal Lamblin et al. (2012)
In this paper, we present Theano1, a framework in the Python programming language for defining, optimizing and evaluating expressions involving high-level operations on ten-sors. Theano offers most of NumPy’s functionality, but adds automat...
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