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Introduction: Special issue on computational learning theory

Leonard Pitt
1990 Machine Learning  
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

Amy Greenwald, Michael L. Littman
2007 Machine Learning  
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

Lisa Hellerstein, Hans U. Simon
2009 Journal of computer and system sciences (Print)  
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

Zai-Wen Wen, Ya-Xiang Yuan
2020 Journal of the Operations Research Society of China  
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

Sally A. Goldman
1995 Machine Learning  
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

Witold Pedrycz, Daniel Yeung, Xizhao Wang
2010 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
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

J.C. Principe, E. Oja, L. Xu, A. Cichocki, D. Erdogmus
2004 IEEE Transactions on Neural Networks  
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  
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

S. Arikawa, S. Miyano, T. Yokomori
1995 Theoretical Computer Science  
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

Yair Weiss, Vittorio Ferrari, Cristian Sminchisescu, Martial Hebert
2020 International Journal of Computer Vision  
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

Richard E. Mayer
2015 Educational Psychologist  
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

Zheng Yan, Heping Hao, L. Jon Hobbs, Ning Wen
2003 Journal of educational computing research  
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)

Wu Junde
2021 International Journal of Theoretical Physics  
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

Weiping Dingr, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo
2021 IEEE Transactions on Emerging Topics in Computational Intelligence  
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

Michael J. Pazzani
1994 Machine Learning  
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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