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Towards the Tree Automata Workbench Marbles

Frank Drewes
2010 Electronic Communications of the EASST  
The goal is to design and implement an extensible system that facilitates experiments with virtually any kind of algorithm on tree automata.  ...  Moreover, the system will be released with a library and an application programmer's interface to make it accessible to anyone who wants to apply tree automata algorithms in research and development.  ...  Most of all, however, I want to thank you, Hans-Jörg, for your support during all those years, for teaching me so much about our profession, and for being a good example in all respects.  ... 
doi:10.14279/tuj.eceasst.26.360 dblp:journals/eceasst/Drewes10 fatcat:oyaez6acinbojef6ar3w5ponpy

A Review of Platforms for the Development of Agent Systems [article]

Constantin-Valentin Pal, Florin Leon, Marcin Paprzycki, Maria Ganzha
2020 arXiv   pre-print
This paper presents a up-to-date review of the existing agent platforms and also a historical perspective of this domain.  ...  Agent-based computing is an active field of research with the goal of building autonomous software of hardware entities.  ...  The Cellular Automata package offers a collection of packages including the game of life, system biology chemotaxis, forest fire, and heat diffusion.  ... 
arXiv:2007.08961v1 fatcat:3ddtajdqv5fftldoqobr2y6y4u

Tree algorithms:two taxonomies and a toolkit [article]

Cleophas, LGWA (Loek), Brand, MGJ (Mark) Van Den, Watson, BW (Bruce), Hemerik, C (Kees)
The Forest FIRE toolkit and the accompanying graphical user interface FIRE Wood were developed together with Roger Strolenberg.  ...  As part of his Master's thesis research [Str07a] and during a temporary appointment afterward, he implemented the toolkit and performed the experiments.  ...  In this chapter, we consider Forest FIRE, a toolkit of algorithms and automata constructions based on the two taxonomies discussed in Chapters 5 and 6.  ... 
doi:10.6100/ir633481 fatcat:jcxo7fhy2zacpgesl2p7ofhwbu

Towards A Novel Unified Framework for Developing Formal, Network and Validated Agent-Based Simulation Models of Complex Adaptive Systems [article]

Muaz A. Niazi
2017 arXiv   pre-print
In this thesis, we propose first steps towards such a unified framework using a combination of agent-based and complex network-based modeling approaches and guidelines formulated in the form of a set of  ...  Literature on the modeling and simulation of complex adaptive systems (cas) has primarily advanced vertically in different scientific domains with scientists developing a variety of domain-specific approaches  ...  The search was thus performed on titles and the exact search from the ISI web of knowledge was as following:  ... 
arXiv:1708.02357v1 fatcat:s7j3edr2erbgplzitfcjb6xmz4

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
To maximize the utility of the injected knowledge, we deploy a learning-based multi-sieve approach and develop novel entity-based features.  ...  Learning-based Multi-Sieve Co-reference Resolution with Knowledge Lev Ratinov and Dan Roth Saturday 11:00am-11:30am -202 A (ICC) We explore the interplay of knowledge and structure in co-reference resolution  ...  source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008) .  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

Mining Insights from Weakly-Structured Event Data [article]

Niek Tax
2019 arXiv   pre-print
Several techniques are introduced in the area of local process model mining, including a basic method, fast but approximate heuristic methods, and constraint-based techniques.  ...  This thesis focuses on process mining on event data where such a normative specification is absent and, as a result, the event data is less structured.  ...  A rooted tree is a tree in which one of its nodes r ∈ N is given special status, and is referred to as the root of the tree.  ... 
arXiv:1909.01421v1 fatcat:wjsv7wif4napbetlm57kplf76u

GIS Mashups [chapter]

Ilya Zaslavsky
2017 Encyclopedia of GIS  
for crystallographic design, casting folding energies as a function of a protein's contact map, and formulation of vaccination policies taking into account social dynamics of individuals.  ...  ., ozone concentrations) over 2D spatial fields as realizations of a stochastic process. Sacks et al. (1989) described the use of kriging to model (deterministic) computer experiments.  ...  Examples of popular computational models include distributed modeling, cellular automata (CA), agent-based modeling (ABM), and evolutionary (or geneitc) algorithms.  ... 
doi:10.1007/978-3-319-17885-1_530 fatcat:rrr5buo3zrevpigdtjwhewipvm

Modeling Creativity: Case Studies in Python [article]

Tom De Smedt
2014 arXiv   pre-print
Modeling Creativity examines creativity in a number of different perspectives: from its origins in nature, which is essentially blind, to humans and machines, and from generating creative ideas to evaluating  ...  We will use a hands-on approach with case studies and examples in the Python programming language.  ...  Acknowledgements The authors of DrawBot, Just van Rossum and Erik van Blokland, define the simplicity of a computational approach to art and design in terms of volume, complexity and variation:  ... 
arXiv:1410.0281v1 fatcat:an7qvt47fbeqjgx5jmhrrnijsm

Global Data For Global Science

Multiple Authors
2015 Zenodo  
The Proceedings of the 1st ICSU World Data System Conference, held 3–6 September 2011 at Kyoto University, Japan, contains the papers submitted to the Data Science Journal.  ...  Watanabe and other members of WDS-SC for their arrangement in publishing a special issue on CODATA Data Science Journal, as a proceeding ACKNOWLEDGEMENTS The present work was done by using resources of  ...  In particular, the critiques of Bruce Barkstrom, David Carlson, Bryan Lawrence, Chris Rusbridge, and Lynn Yarmey made this a much better essay. 8  ... 
doi:10.5281/zenodo.34188 fatcat:dhoudwjt2bdjnmnq2e3jubmysa

Wireless Sensor Network Security

An Liu, Mihui Kim, Leonardo B. Oliveira, Hailun Tan
2013 International Journal of Distributed Sensor Networks  
Acknowledgements We wish to thank Alexander Becher and Maximillian Dornseif for many helpful discussions and the delightful previous cooperation in breaking sensors [6] which formed the basis of Section  ...  The user thereof uses the information at its sole risk and liability. References  ...  fire prevention, and military surveillance [19, 21, 25] .  ... 
doi:10.1155/2013/362385 fatcat:2ph46uukonbtbdkc5q6t4mvgcq

Evolution of Brains and Computers: The Roads Not Taken

Ricard Solé, Luís F. Seoane
2022 Entropy  
When computers started to become a dominant part of technology around the 1950s, fundamental questions about reliable designs and robustness were of great relevance.  ...  With the rise of deep learning and the development of connectomics, an evolutionary look at how both hardware and neural complexity have evolved or designed is required.  ...  We also thank Ephraim Winslow and Thomas Wake for enlightening ideas. Conflicts of Interest: The authors declare no conflict of interest. Entropy 2022, 24, 665  ... 
doi:10.3390/e24050665 fatcat:pmaxjg7hzzc5pdm5dgezospt4e

Introduction [chapter]

2016 Music Data Analysis  
This series aims to foster the integration between the computer sciences and statistical, numerical, and probabilistic methods by publishing a broad range of reference works, textbooks, and handbooks.  ...  The interface between the computer and statistical sciences is increasing, as each discipline seeks to harness the power and resources of the other.  ...  One example of bagging is Random Forests, a combination of many decision trees (see, e.g., [4] Let us now compare the error rates of all introduced classifiers based on all 26 • • • • • • • • • •  ... 
doi:10.1201/9781315370996-5 fatcat:avooqogcpnbjngqmzuonil3exq

Special issue on information reuse and integration

2007 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Based on our results, we recommend using the random forest ensemble learning technique for building classification models from software measurement data, regardless of the quality and class distribution  ...  In this study, we identify learners (from a total of 11 classification algorithms) with robust performance in the presence of low quality imbalanced measurement data.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied of AFRL or the  ... 
doi:10.1109/tsmcb.2007.912701 fatcat:xvhlaf4m3vhcdb2cicqtfrug6m

Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition

Cristina Mollica, Lea Petrella
2016 Journal of Applied Statistics  
The working group (WG) CMStatistics comprises a number of specialized teams in various research areas of computational and methodological statistics.  ...  Specialized teams Currently the ERCIM WG has over 1150 members and the following specialized teams BM: Bayesian Methodology CODA: Complex data structures and Object Data Analysis CPEP: Component-based  ...  As an example we consider phenotypic data: given one or several traits, we reconstruct a balanced tree structure and assess its agreement with the known taxonomy.  ... 
doi:10.1080/02664763.2016.1263835 fatcat:l5eyielgxrct7hq5ljqeej5ccy

A genetic algorithm for designing optimal patch configurations in GIS

Christopher J. Brookes
2001 International Journal of Geographical Information Science  
The key component is the PRG which translates between the aspatial domain of the search algorithm and the spatial domain of the GIS.  ...  GAPD combines four components: a genetic search algorithm, a parameterised region growing (PRG) program, raster GIS measurement functions and multi-criteria decision-making methods.  ...  fires; and • the economic productivity and recreational value of managed forests.  ... 
doi:10.1080/136588101316907227 fatcat:6mgijm6bdng4hkxcrbs2ryxr6a
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