Littérature scientifique sur le sujet « Computation rule »

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Articles de revues sur le sujet "Computation rule"

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Xiong, Shiyong, Kaiwen Jiang, and Rongsen Wu. "Research on Rule Matching Model Based on Spark." Journal of Physics: Conference Series 2303, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2303/1/012020.

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Abstract Rule engines are widely used in engineering and academic fields because they can flexibly separate facts and rules from the rule matching process. Since the rule matching process is very time-consuming, and the traditional rule matching uses single-computer operation when many facts and rules exceed the computer’s memory and computational capacity limit, it will cause the application to crash and paralyze. To solve the above problems, this paper investigates the Spark framework and Rete algorithm to take advantage of Spark’s in-memory computation to alleviate the time-consuming proble
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ASCIA, G., and V. CATANIA. "AN EFFICIENT HARDWARE ARCHITECTURE TO SUPPORT COMPLEX FUZZY REASONING." International Journal on Artificial Intelligence Tools 05, no. 01n02 (1996): 41–60. http://dx.doi.org/10.1142/s0218213096000043.

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The paper presents the design of a VLSI fuzzy processor which is capable of supporting complex fuzzy reasoning. The architecture of the processor is based on a appropriate computational model, whose main features are: capability to cope with rule chaining; pre-processing of inferences to reduce the number of rules to be processed; parallel computation of the degree of activation of the rules; optimized representation of membership function. The processor performance is in the order of 1.5 MFLIPS (256 rule, 8 Fuzzy inputs, 4 output).
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Ninagawa, Shigeru. "Power Spectral Analysis of Elementary Cellular Automata." Complex Systems 17, no. 4 (2008): 399–411. http://dx.doi.org/10.25088/complexsystems.17.4.399.

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Spectral analysis of elementary cellular automata is performed. A power spectrum is calculated from the evolution of 88 independent rules starting from random initial configurations. As a result, it is found that rule 110 exhibits 1/f noise during the longest time steps. Rule 110 has proved to be capable of supporting universal computation. These results suggest that there is a relationship between computational universality and 1/f noise in cellular automata.
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FREUND, RUDOLF, and MARION OSWALD. "PARTIAL HALTING IN P SYSTEMS." International Journal of Foundations of Computer Science 18, no. 06 (2007): 1215–25. http://dx.doi.org/10.1142/s0129054107005261.

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We consider a new variant of the halting condition in P systems, i.e., a computation in a P system is already called halting if no multiset of rules containing a rule from each set of rules assigned to the membranes is applicable anymore, whereas usually a computation is called halting if no rule is applicable anymore in the whole system. This new variant of partial halting is especially investigated for (catalytic) P systems and antiport P systems working in different derivation modes.
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Sathasivam, Saratha. "Applying Different Learning Rules in Neuro-Symbolic Integration." Advanced Materials Research 433-440 (January 2012): 716–20. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.716.

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Pseudo inverse learning rule and new activation unction performance will be evaluated and compared with the primitive learning rule, Hebb rule. Comparisons are made between these three rules to see which rule is better or outperformed other rules in the aspects of computation time, memory and complexity. From the computer simulation that has been carried out, the new activation function performs better than the other two learning methods.
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Betzler, N., A. Slinko, and J. Uhlmann. "On the Computation of Fully Proportional Representation." Journal of Artificial Intelligence Research 47 (July 22, 2013): 475–519. http://dx.doi.org/10.1613/jair.3896.

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We investigate two systems of fully proportional representation suggested by Chamberlin Courant and Monroe. Both systems assign a representative to each voter so that the "sum of misrepresentations" is minimized. The winner determination problem for both systems is known to be NP-hard, hence this work aims at investigating whether there are variants of the proposed rules and/or specific electorates for which these problems can be solved efficiently. As a variation of these rules, instead of minimizing the sum of misrepresentations, we considered minimizing the maximal misrepresentation introdu
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Peng, Lijun, Xiaojun Duan, and Jubo Zhu. "A New Sparse Gauss-Hermite Cubature Rule Based on Relative-Weight-Ratios for Bearing-Ranging Target Tracking." Modelling and Simulation in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2783781.

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A new sparse Gauss-Hermite cubature rule is designed to avoid dimension explosion caused by the traditional full tensor-product based Gauss-Hermite cubature rule. Although Smolyak’s quadrature rule can successfully generate sparse cubature points for high dimensional integral, it has a potential drawback that some cubature points generated by Smolyak’s rule have negative weights, which may result in instability for the computation. A relative-weight-ratio criterion based sparse Gauss-Hermite rule is presented in this paper, in which cubature points are kept symmetric in the input space and cor
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Kumar, Ashok, and V. M. Malhotra. "A new computation rule for prolog." Information Processing Letters 27, no. 5 (1988): 249–52. http://dx.doi.org/10.1016/0020-0190(88)90087-7.

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Barnett, M. P. "Implicit rule formation in symbolic computation." Computers & Mathematics with Applications 26, no. 10 (1993): 35–50. http://dx.doi.org/10.1016/0898-1221(93)90024-p.

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Simiński, Krzysztof. "Rule weights in a neuro-fuzzy system with a hierarchical domain partition." International Journal of Applied Mathematics and Computer Science 20, no. 2 (2010): 337–47. http://dx.doi.org/10.2478/v10006-010-0025-3.

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Rule weights in a neuro-fuzzy system with a hierarchical domain partitionThe paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results showing the advantage of their usage are presented.
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Thèses sur le sujet "Computation rule"

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Galea, Michelle. "Fuzzy rules from ant-inspired computation." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/2701.

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This research identifies and investigates major issues in inducing accurate and comprehensible fuzzy rules from datasets. A review of the current literature on fuzzy rulebase induction uncovers two significant issues: A. There is a tradeoff between inducing accurate fuzzy rules and inducing comprehensible fuzzy rules; and, B. A common strategy for the induction of fuzzy rulebases, that of iterative rule learning where the rules are generated one by one and independently of each other, may not be an optimal one. FRANTIC, a system that provides a framework for exploring the claims above is devel
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Buss, Aaron Thomas. "Closing the developmental loop on the behavioral and neural dynamics of flexible rule-use." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4949.

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Executive function (EF) is a central aspect of cognition that undergoes significant changes in early childhood. Changes in EF in early childhood are robustly predictive of academic achievement and general quality of life measures later in adulthood. I develop a dynamic neural field (DNF) model which provides a process-based account of behavior and developmental change in a key task used to probe the early development of executive function--the Dimensional Change Card Sort (DCCS) task. In the DCCS, children must flexibly switch from sorting cards either by shape or color to sorting by the other
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Rastegari, Samaneh. "Intelligent network intrusion detection using an evolutionary computation approach." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1760.

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With the enormous growth of users' reliance on the Internet, the need for secure and reliable computer networks also increases. Availability of effective automatic tools for carrying out different types of network attacks raises the need for effective intrusion detection systems. Generally, a comprehensive defence mechanism consists of three phases, namely, preparation, detection and reaction. In the preparation phase, network administrators aim to find and fix security vulnerabilities (e.g., insecure protocol and vulnerable computer systems or firewalls), that can be exploited to launch attac
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Kim, Hantae. "FUZZY RULE-BASED RELAXATION SCHEMES IN GROUNDWATER FLOW COMPUTATIONS." Kyoto University, 1998. http://hdl.handle.net/2433/182424.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第7563号<br>農博第1024号<br>新制||農||772(附属図書館)<br>学位論文||H10||N3213(農学部図書室)<br>UT51-99-A249<br>京都大学大学院農学研究科農業工学専攻<br>(主査)教授 河地 利彦, 教授 青山 咸康, 教授 三野 徹<br>学位規則第4条第1項該当
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Breutel, Stephan Werner. "Analysing the behaviour of neural networks." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15943/1/Stephan_Breutel_Thesis.pdf.

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A new method is developed to determine a set of informative and refined interface assertions satisfied by functions that are represented by feed-forward neural networks. Neural networks have often been criticized for their low degree of comprehensibility.It is difficult to have confidence in software components if they have no clear and valid interface description. Precise and understandable interface assertions for a neural network based software component are required for safety critical applications and for theintegration into larger software systems. The interface assertions we a
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Breutel, Stephan Werner. "Analysing the behaviour of neural networks." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15943/.

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A new method is developed to determine a set of informative and refined interface assertions satisfied by functions that are represented by feed-forward neural networks. Neural networks have often been criticized for their low degree of comprehensibility.It is difficult to have confidence in software components if they have no clear and valid interface description. Precise and understandable interface assertions for a neural network based software component are required for safety critical applications and for theintegration into larger software systems. The interface assertions we are con
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Barua, Dipak. "Rule-based Computational Modeling of Modular Signaling Protein Interactions." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-08122008-144717/.

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Intracellular signal transduction pathways are comprised of complex interactions among cellular proteins and other biomolecules. The structures of signaling proteins/enzymes are often modular, with conserved domains that carry out specific interactions or catalytic functions, and their core activities are dictated through coordinated intra- and inter-molecular interactions. In collaboration with Prof. James Faeder (Computational Biology, University of Pittsburgh), we have applied a computational algorithm for generating large networks of kinetic equations based on a much smaller set of mechani
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Matthews, Stephen. "Learning lost temporal fuzzy association rules." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/8257.

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Fuzzy association rule mining discovers patterns in transactions, such as shopping baskets in a supermarket, or Web page accesses by a visitor to a Web site. Temporal patterns can be present in fuzzy association rules because the underlying process generating the data can be dynamic. However, existing solutions may not discover all interesting patterns because of a previously unrecognised problem that is revealed in this thesis. The contextual meaning of fuzzy association rules changes because of the dynamic feature of data. The static fuzzy representation and traditional search method are ina
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Sommacal, Silvano. "Computational petrology : subsolidus equilibria in the upper mantle /." View thesis entry in Australian Digital Theses Program, 2004. http://thesis.anu.edu.au/public/adt-ANU20050415.151025/index.html.

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Wilson-Kanamori, John Roger. "Defining complex rule-based models in space and over time." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/11687.

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Computational biology seeks to understand complex spatio-temporal phenomena across multiple levels of structural and functional organisation. However, questions raised in this context are difficult to answer without modelling methodologies that are intuitive and approachable for non-expert users. Stochastic rule-based modelling languages such as Kappa have been the focus of recent attention in developing complex biological models that are nevertheless concise, comprehensible, and easily extensible. We look at further developing Kappa, in terms of how we might define complex models in both the
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Livres sur le sujet "Computation rule"

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L, Mühlbauer Andreas, ed. Phase equilibria: Measurement and computation. Taylor & Francis, 1998.

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Meloun, M. Computation of solution equilibria: A guide to methods in potentiometry, extraction, and spectrophotometry. Edited by Havel J and Högfeldt Erik 1924-. E. Horwood, 1988.

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International Conference on Advanced Computational Methods in Heat Transfer (4th 1996 Udine, Italy). Advanced computational methods in heat transfer IV. Edited by Wrobel L. C. 1952-. Computational Mechanics Publications, 1996.

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International Conference on Advanced Computational Methods in Heat Transfer (8th 2004 Lisbon, Portugal). Advanced computational methods in heat transfer VIII. Edited by Sundén Bengt, Brebbia C. A, and Mendes A. C. WIT Press, 2004.

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International Conference on Advanced Computational Methods in Heat Transfer (2nd 1992 Milan, Italy). Advanced computational methods in heat transfer II. Edited by Wrobel L. C. 1952-, Brebbia C. A, and Nowak A. J. Computational Mechanics Publications, 1992.

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J, Nowak A., and International Conference on Advanced Computational Methods in Heat Transfer (5th : 1998 : Cracow, Poland), eds. Advanced computational methods in heat transfer: Heat transfer V. Computational Mechanics Publications, 1998.

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Ruan, Da, and Etienne E. Kerre, eds. Fuzzy If-Then Rules in Computational Intelligence. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4513-2.

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Hsiung, Alain. Lexicon acquisition through high-level rule compilation. Olms, 1995.

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Selman, Bart. Rule-based processing in a connectionist system for natural language understanding. Computer Systems Research Institute, University of Toronto, 1985.

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Selman, Bart. Rule-based processing in a connectionist system for natural language understanding. University of Toronto, Dept. of Computer Science, 1985.

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Chapitres de livres sur le sujet "Computation rule"

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PAN, Ping-Qi. "Pivot Rule." In Linear Programming Computation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40754-3_11.

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PAN, Ping-Qi. "Pivot Rule." In Linear Programming Computation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-0147-8_12.

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PAN, Ping-Qi. "Dual Pivot Rule." In Linear Programming Computation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40754-3_12.

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PAN, Ping-Qi. "Dual Pivot Rule." In Linear Programming Computation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-0147-8_13.

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de las Cuevas, Paloma, Pablo García-Sánchez, Zaineb Chelly Dagdia, María-Isabel García-Arenas, and Juan Julián Merelo Guervós. "Automatic Rule Extraction from Access Rules Using Genetic Programming." In Applications of Evolutionary Computation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43722-0_4.

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Danos, Vincent, Tobias Heindel, Ricardo Honorato-Zimmer, and Sandro Stucki. "Moment Semantics for Reversible Rule-Based Systems." In Reversible Computation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20860-2_1.

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Bradley, Robert Gregory, Anthony Brabazon, and Michael O’Neill. "Evolving Trading Rule-Based Policies." In Applications of Evolutionary Computation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12242-2_26.

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Ait El Hadj, Maryem, Yahya Benkaouz, Bernd Freisleben, and Mohammed Erradi. "ABAC Rule Reduction via Similarity Computation." In Networked Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59647-1_7.

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Mints, Grigori. "Countable Version of Omega-Rule." In Logic, Language, Information and Computation. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20920-8_21.

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Jackson, Robert. "Continental Realism and Computation." In Weaponising Speculation. punctum books, 2014. https://doi.org/10.21983/p3.0077.1.03.

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FIRST off, I would like the reader to examine this computer function. This is a rule called Rule 30, discovered and coined by Stephen Wolfram [1]. This is a determined simple cellular automaton rule, easily describ-able (basically, if the top set of pixels, are present, it computes the pixel below line by line and so on). It can be manipulated on a set of black and white tiles by hand without an ordinary computing machine for instance. I’ll return to this later.Although academic scholars are trained not to generalise, para-academics might afford themselves some informal naivety. So it is that
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Actes de conférences sur le sujet "Computation rule"

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Tianrungroj, Yossathorn, and Hitoshi Iba. "ROIL: Rule Optimization via Large Language Model for Imitation Learning." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10612166.

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Lipschutz-Villa, Gabriel, Harsh Bandhey, Ruonan Yin, Malek Kamoun, and Ryan Urbanowicz. "Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic Modeling." In GECCO '25: Genetic and Evolutionary Computation Conference. ACM, 2025. https://doi.org/10.1145/3712256.3726461.

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Tadokoro, Masakazu, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, and Keiki Takadama. "Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS." In 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020. http://dx.doi.org/10.1109/cec48606.2020.9185669.

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Seo, Hyunjin, and Stuart Thorson. "Computation, Rule Following, and Ethics in AIs." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2022. http://dx.doi.org/10.24251/hicss.2022.132.

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Shahrzad, Hormoz, Babak Hodjat, and Risto Miikkulainen. "Evolving explainable rule sets." In GECCO '22: Genetic and Evolutionary Computation Conference. ACM, 2022. http://dx.doi.org/10.1145/3520304.3534023.

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Urbanowicz, Ryan J., Randal S. Olson, and Jason H. Moore. "Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning." In GECCO '16: Genetic and Evolutionary Computation Conference. ACM, 2016. http://dx.doi.org/10.1145/2908961.2931736.

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Urbanowicz, Ryan, and Will Browne. "Introducing Rule-based Machine Learning." In GECCO '15: Genetic and Evolutionary Computation Conference. ACM, 2015. http://dx.doi.org/10.1145/2739482.2756590.

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Urbanowicz, Ryan J. "Introducing rule-based machine learning." In GECCO '17: Genetic and Evolutionary Computation Conference. ACM, 2017. http://dx.doi.org/10.1145/3067695.3067719.

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Urbanowicz, Ryan. "Introducing Rule-Based Machine Learning." In GECCO '16: Genetic and Evolutionary Computation Conference. ACM, 2016. http://dx.doi.org/10.1145/2908961.2926979.

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Xing, Yafei, Shingo Mabu, and Kotaro Hirasawa. "Pruning generalized rules for stock markets accumulated by Genetic Network Programming with Rule Accumulation." In 2011 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2011. http://dx.doi.org/10.1109/cec.2011.5949924.

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Rapports d'organisations sur le sujet "Computation rule"

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Pawar, Rajesh, Greg Lackey, Brian Strazisar, et al. Rules and Tools Crosswalk: Computational Tools for Geologic Carbon Storage Class VI Permitting. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1864966.

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Lackey, Greg, Brian Strazisar, Bruce Kobelski, et al. Rules and Tools Crosswalk: A Compendium of Computational Tools to Support Geologic Carbon Storage Environmentally Protective UIC Class VI Permitting. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1870412.

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Manasan, Rosario. Fiscal Sustainability, Equity, and Allocative Efficiency in the Light of the 2019 Supreme Court Ruling on the LGUs' Share in National Taxes. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.18.

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In 2019, the Supreme Court ruled with finality on separate petitions filed by Batangas Governor Herminaldo Mandanas et al. and Bataan Governor Enrique Garcia regarding the share of local government units (LGUs) in national internal revenue taxes as mandated under Section 284 of the 1991 Local Government Code (LGC). According to the petitioners, there are errors in the computation of the internal revenue allotment (IRA). As a result, the IRA in 2022 will increase by PHP 225.3 billion relative to what it would have been prior to the promulgation of the said ruling to reach PHP 1,102.7 billion. T
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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&amp;D), academies of science, ministries of science and technology, policies, rec
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