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Introduction: Special issue on computational learning theory
1990
Machine Learning
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Introduction: Special Issue on Computational Learning Theory This special issue of Machine Learning provides a small sampling of some of the current research in computational learning theory. ...
the many issues that arise in computational learning theory. ...
doi:10.1007/bf00116033
fatcat:mmmzufflubhilb4aeset6yhyke
Introduction to the special issue on learning and computational game theory
2007
Machine Learning
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Our purpose in editing this special issue on computational issues that pertain to learning in games was to provide an opportunity for sharing results in this rapidly growing area at the intersection of ...
Game theory is concerned with the decision making of utility-maximizing individuals in their interactions with one another and their environment. ...
We believe the papers that appear here represent high-quality research in the area of machine learning and computational game theory. ...
doi:10.1007/s10994-007-0770-1
fatcat:wslyeiof2faxje3ucnzqlig3be
Special Issue: Learning Theory 2006
2009
Journal of computer and system sciences (Print)
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This special issue of Journal of Computer and System Sciences is devoted to papers on learning theory that were published in conferences during 2006. ...
Preliminary versions of the papers included here were presented at one of the following conferences: ...
• 38th Annual Symposium on Theory of Computing (STOC 2006) The six papers in this special issue offer a view from different perspectives on current research in learning theory. ...
doi:10.1016/j.jcss.2008.07.002
fatcat:iogujdqidncvvllh3gjbbpomuq
Preface–Special Issue on Mathematical Optimization: Past, Present and Future
2020
Journal of the Operations Research Society of China
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For such new and special problems, on the theoretical side, we are running out of applicable theories, and on the computational side, we are stuck in a deep local optimum. ...
Mathematical optimization is one of the foundations of fields such as operations research, computational mathematics, scientific and engineering computing, machine learning, and data sciences. ...
For such new and special problems, on the theoretical side, we are running out of applicable theories, and on the computational side, we are stuck in a deep local optimum. ...
doi:10.1007/s40305-020-00310-z
fatcat:hzioj3ugg5cy5cckvxoovwerg4
Guest editor's introduction
1995
Machine Learning
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This special issue of Machine Learning is devoted to the Sixth Annual ACM Conference on Computational Learning Theory (COLT '93) which was held in Santa Cruz, California on July 26-28, 1993. ...
As the field of computational learning theory has matured, the breadth of topics addressed has continued to grow, and the papers in this special issue give a sampling of such breadth. ...
doi:10.1007/bf00993407
fatcat:g7mho4pn4bcbbbn5rqh4zfrdqy
Recent advances on machine learning and Cybernetics
2010
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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We would like to thank the Editor-in-Chief of SOFT COM-PUTING for the encouragement, support and guidance during the realization of this special issue.
Guest Editors ...
The Guest Editors issue would like to take this opportunity and express their sincere thanks to the reviewers for their detailed comments as well as constructive suggestions on how to improve the quality ...
This special issue of the Soft Computing Journal reports on some recent advances in the theory and applications of soft-computing-based machine learning and Cybernetics as well as their synergistic undertakings ...
doi:10.1007/s00500-010-0590-2
fatcat:swmdjebi7nhrrfzwg6bl3obb4u
Guest Editorial Special Issue on Information Theoretic Learning
2004
IEEE Transactions on Neural Networks
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The aim of this special issue is to present the current state of the art in the application of information theoretic concepts and approaches to learning, adaptation, and neural network theories by active ...
In this special issue, we have a broad range of contributions. Iwata et al. discuss the effective utilization of information gain to devise strategies in reinforcement learning. ...
Guest Editorial Special Issue on Information Theoretic Learning N ONLINEAR signal processing using neural networks inherited the dominant mean-squared error criteria from linear adaptive filtering theory ...
doi:10.1109/tnn.2004.833368
pmid:15461072
fatcat:h3fdp4kdtzdyzc6clr24qwpkqq
Special Issue On Physics-Driven Machine Learning for Computational Imaging
2021
IEEE Signal Processing Magazine
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Besides, this special issue will promote recent works on learning theory for computational imaging, including performance guarantees, convergence analysis, learning model analysis, etc., which are critical ...
This special issue invites tutorial on recent works on novel imaging pipelines such as smart imaging system design, machine learning and related methods, and task and data-driven imaging system hardware ...
Topics of interest include but are not limited to: • Novel Learning-Driven Computational Imaging Systems • Learning-based Modeling and Algorithms for Imaging • Learning Theory for Computational Imaging ...
doi:10.1109/msp.2021.3094969
fatcat:o33zl2km3ra3fk5j5t7flpmsvy
Preface
1995
Theoretical Computer Science
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Preface This special issue is devoted to eight submitted papers selected from the fourth Workshop on Algorithmic Learning Theory (ALT' 93), held in Tokyo, November 1993, which includes 29 papers accepted ...
The special issue consists of papers on the theoretical aspects of machine learning including the following topics: inductive logic, inductive inference, approximate learning and query learning. ...
doi:10.1016/0304-3975(95)90061-6
fatcat:kn5priwcxva3hlp5joj7v5m7am
Special Issue: Advances in Architectures and Theories for Computer Vision
2020
International Journal of Computer Vision
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This special issue focuses on advances in architectures and theories for computer vision. Often the contribution is a new architecture that is better suited to a particular vision task (e.g. ...
The idea for a special issue about architectures and theories for computer vision came from the ECCV conference held in 2018. ...
doi:10.1007/s11263-019-01289-8
fatcat:4cvr2fusuve5vklaxfw7bvwbee
On the Need for Research Evidence to Guide the Design of Computer Games for Learning
2015
Educational Psychologist
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This is the intriguing idea that motivates this special issue of the Educational Psychologist on "Psychological Perspectives on Digital Games and Learning." ...
As with other aspects of technologysupported learning, once again educational psychology is a driving force in contributing to theory and practice concerning the educational use of computer games. ...
WHAT IS NOT NEEDED On the positive side, the four articles in this special issue provide important insights from experienced researchers in the field of computer games for learning. ...
doi:10.1080/00461520.2015.1133307
fatcat:pbsoch6de5edpfrdps6ojnayeq
The Psychology of E-Learning: A Field of Study
2003
Journal of educational computing research
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We comment on major accomplishments and limitations of the special issue, and conclude with a brief discussion of possible future research directions. ...
and constraints of the special issue, and point out possible future research directions. 285 ...
In the lead article of the special issue, Mayer explicitly proposed the concept of science of E-learning for the first time and presented his theory of E-learning based on his 15 years of research on this ...
doi:10.2190/d0mu-61y8-bcrj-2881
fatcat:typa6piwtfetxnjonkiq3ol34y
Special Issue "Quantum computation complexity theory and quantum network theory" (Preface)
2021
International Journal of Theoretical Physics
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The guest editor would like to express his personal gratitude to all of the authors who contributed to the Special Issue. ...
The summer school has greatly broadened the horizons on quantum computation complexity theory and quantum network theory for postgraduates of Zhejiang University and many other universities, by communication ...
The guest editor would like to express his personal gratitude to all of the authors who contributed to the Special Issue. ...
doi:10.1007/s10773-021-04846-5
fatcat:wj2z752vn5cvbahxoco6cprqhu
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments
2021
IEEE Transactions on Emerging Topics in Computational Intelligence
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This special issue focuses on emerging computational intelligence (CI) based theories and methodologies for decision making with big data under uncertain environments. ...
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments D ECISION making in a big-data environment poses many challenges ...
doi:10.1109/tetci.2021.3049701
fatcat:fwz2kgi3nnbgvlbednhwelq23i
Guest editor's introduction
1994
Machine Learning
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I have learned much from being involved in this special issue and I look forward to following progress on computational models of human learning. Michael J. Pazzani University of California, Irvine ...
Implementing a working computer program that learns forces researchers to precisely specify their theory of human learning. ...
doi:10.1007/bf00993171
fatcat:pwg6zr44rnh3rmlg423bk3bnem
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