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Introduction: Advances in E-business engineering

Ling Li
2011 Journal of Special Topics in Information Technology and Management  
problem, and presents two heuristic algorithms for the multi-object optimization of broker deployment.  ...  In the proposed approach, the degree of consumer trust is estimated by extending Dempster-Shafer evidence reasoning theory to the reputation computation using consumers' direct experience and incorporating  ... 
doi:10.1007/s10799-011-0100-y fatcat:j2v2auhskrg4fampmifnxm2s6m

Introduction to quantum groups [article]

Teo Banica
2022 arXiv   pre-print
We review here the general theory of such quantum groups. We discuss as well a number of more advanced topics, selected for their beauty, and potential importance.  ...  The unitary group U_N has a free analogue U_N^+, and the closed subgroups G⊂ U_N^+ can be thought of as being the "compact quantum Lie groups".  ...  For U * N we obtain P * 2 = P * 2 ∩ P 2 . (3) For B N , C N we obtain the categories P 12 , P 12 of singletons and pairings, and matching singletons and pairings.  ... 
arXiv:1909.08152v7 fatcat:zswgigx2vfcs3jmxuvx23fukvy

Introduction: advances in E-business engineering

Shoubo Xu, Li Da Xu, Josef Basl
2012 Journal of Special Topics in Information Technology and Management  
problem, and presents two heuristic algorithms for the multi-object optimization of broker deployment.  ...  In the proposed approach, the degree of consumer trust is estimated by extending Dempster-Shafer evidence reasoning theory to the reputation computation using consumers' direct experience and incorporating  ... 
doi:10.1007/s10799-012-0146-5 fatcat:gmej7lfbpne2rglj7x64n3zlmi

Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications

T. Bouwmans, N. Vaswani, P. Rodriguez, R. Vidal, Z. Lin
2018 IEEE Journal on Selected Topics in Signal Processing  
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications S UBSPACE learning theory for dimensionality reduction was initiated with the Principal Component  ...  Thus, this special issue group recent works in robust subspace learning and clustering related to theory, algorithms and applications for signal processing and computer vision applications.  ... 
doi:10.1109/jstsp.2018.2879245 fatcat:z3ohqdl37nat3pjo65fzsf2ady

Editors' Introduction [chapter]

Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann
2013 Lecture Notes in Computer Science  
The conference "Algorithmic Learning Theory 2010" is dedicated to studies of learning from a mathematical and algorithmic perspective.  ...  He formulates a general framework for a large class of learning algorithms for such languages and, using this framework, he reviews Angluin's classical LSTAR algorithm and compares it with various contemporary  ...  These types of structures are important in mathematics and computer science and also play an important role in learning theory.  ... 
doi:10.1007/978-3-642-40935-6_1 fatcat:pchrsvhjezfbvh6dfplqhxhgcy

Introduction—Topic models: What they are and why they matter

John W. Mohr, Petko Bogdanov
2013 Poetics  
We summarize the theory and background of the method and discuss just what kinds of things are found by topic models.  ...  We summarize the theory and background of the method and discuss just what kinds of things are found by topic models.  ...  Bosch, Liliana Arroyo and Jesús de Miguel for their useful feedback and suggestions.  ... 
doi:10.1016/j.poetic.2013.10.001 fatcat:h7cf2bq6pzbxnkn4dn4cssptmq

Introduction of Key Problems in Long-Distance Learning and Training

Shuai Liu, Zhaojun Li, Yudong Zhang, Xiaochun Cheng
2018 Journal on spesial topics in mobile networks and applications  
Imrich Chlamtac for his supportive guidance during the entire process. The editorial is supported by National Natural Science  ...  Acknowledgements The guest editors are thankful to our reviewers for their effort in reviewing these manuscripts. We also thank the Edit-in-Chief, Dr.  ...  Finally, for the selection of specific service resources, a trend-aware service selection algorithm for the QoE multi-constrained measurement is proposed.  ... 
doi:10.1007/s11036-018-1136-6 fatcat:o56hifzmbrc4vnhvs2qqnsp4gy

Proximal Methods for Image Processing [chapter]

D. Russell Luke
2020 Topics in applied physics  
Processing Proximal Methods for Image Processing The names for these algorithms have evolved since their first introduction.  ...  Note that the projections in Step 2 of the algorithm can be computed in parallel, while the Cyclic Projections and Cyclic Douglas-Rachford Algorithms must be executed sequentially.  ... 
doi:10.1007/978-3-030-34413-9_6 fatcat:jazwae5vsfeubgbci6zcwavvcu

Introduction to Multi-Armed Bandits

Aleksandrs Slivkins
2019 Foundations and Trends® in Machine Learning  
"The Multiplicative Weights Update Method: a Meta-Algorithm and Applications". Theory of Computing. 8(1): 121-164. Dani, V., T. P. Hayes, and S. Kakade. 2008.  ...  Each chapter tackles one line of work, providing a self-contained introduction and pointers for further reading.  ... 
doi:10.1561/2200000068 fatcat:5drse7hks5fuzd6hriwrlgp27a

A brief history of the introduction of generalized ensembles to Markov chain Monte Carlo simulations

Bernd A. Berg
2017 The European Physical Journal Special Topics  
Starting off with the Metropolis algorithm and Hastings' extension, I present a mini review which focuses on the explosive use of generalized ensembles in the early 1990s.  ...  In particular, they have been used for simulations of first order phase transitions and for simulations of complex systems in which conflicting constraints lead to a rugged free energy landscape.  ...  Acknowledgments: I would like to thank Martin Weigel and the other organizers for inviting me to Wolfhard's belated birthday party.  ... 
doi:10.1140/epjst/e2016-60236-2 fatcat:5tkf7twcgrdjzcvo2enjobebru

Guest Editors' Introduction: Special Section on Energy Efficient Computing

Mootaz Elnozahy, Rami Melhem
2012 IEEE transactions on computers  
and scheduling heuristics, namely, prepower-determination algorithms, postpower-determination algorithms, and hybrid algorithms.  ...  We obtained at least three reviews for each paper. Only 12 papers survived the first round of revisions and only one of the twelve papers was accepted with minor revisions.  ...  He is or was on the editorial board of the IEEE Transactions on Computers, the IEEE Transactions on Parallel and Distributed systems, the Computer Architecture Letters and the Journal of Parallel and Distributed  ... 
doi:10.1109/tc.2012.262 fatcat:3v4ej7z5enfadh7rn5fxqmvphy

III Advanced Topics [chapter]

2016 Soft Computing Applications in Sensor Networks  
Some of the key areas are like algorithmic game theory [26] , algorithmic mechanism design [27] and design and analysis of complex system with economic theory [12] .  ...  Bibliography Introduction In the recent past, soft computing (SC) techniques were applied to complex and computationally intensive problems that have customarily proved intractable for conventional mathematical  ...  A random walk is performed from each node and entropy is computed for each node. Average entropy across all nodes is calculated to reveal network complexity.  ... 
doi:10.1201/9781315372020-13 fatcat:ze5voikcfbfi5lubz5t5oismua

An Introduction to Model-Independent Diffusion Magnetic Resonance Imaging

Anh T. Van, Cristina Granziera, Roland Bammer
2010 Topics in Magnetic Resonance Imaging (TMRI)  
Q-space based techniques such as diffusion spectrum imaging, q-ball imaging, and their variations have been used extensively in research for their desired capability to delineate complex neuronal architectures  ...  The purpose of this paper is to provide an introduction to the q-space formalism and the principles of basic q-space techniques together with the discussion on the advantages as well as challenges in translating  ...  The values of the ODF are computed at many directions and then interpolated to get the continuous ODF (blue lines). Figure 12 . 12 Figure 12. Figure 13 . 13 Figure 13.  ... 
doi:10.1097/rmr.0b013e31823e6303 pmid:22158128 pmcid:PMC3238803 fatcat:tt5qky52czf43gn4wk6cfapava

Introduction to the Topical Issue on Laser Dynamics and Nonlinear Photonics

C. Masoller, I. Brener
2010 European Physical Journal D : Atomic, Molecular and Optical Physics  
We also discuss and summarize the work presented in the contributed articles to this topical issue and its related workshop.  ...  This topical issue highlights some of the latest research in nonlinear dynamics of photonics devices and novel properties of optical materials that can result from their nonlinear response to light.  ...  theory and experiments for a sphere and a plate.  ... 
doi:10.1140/epjd/e2010-00127-3 fatcat:wlp6aent7rcctm3nuyuiha4ewq

Distributed Control Algorithms (Selected Topics) [chapter]

Friedemann Mattern
1993 Parallel Computing on Distributed Memory Multiprocessors  
The paper presents several algorithmic solutions to typical problems from the theory of distributed computing.  ...  Concepts like atomic actions, message driven computations, time diagrams, and consistent cuts are introduced and references to the literature for further reading are given.  ...  Introduction The purpose of this paper is to give a n o verview of some selected topics from the theory of distributed algorithms 1 .  ... 
doi:10.1007/978-3-642-58066-6_9 fatcat:u76nn4ielre2jl6rm52liaxdua
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