標題: Titlebook: Genetic Programming Theory and Practice XVII; Wolfgang Banzhaf,Erik Goodman,Bill Worzel Book 2020 Springer Nature Switzerland AG 2020 Gene [打印本頁] 作者: 門牙 時間: 2025-3-21 18:59
書目名稱Genetic Programming Theory and Practice XVII影響因子(影響力)
書目名稱Genetic Programming Theory and Practice XVII影響因子(影響力)學(xué)科排名
書目名稱Genetic Programming Theory and Practice XVII網(wǎng)絡(luò)公開度
書目名稱Genetic Programming Theory and Practice XVII網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Genetic Programming Theory and Practice XVII被引頻次
書目名稱Genetic Programming Theory and Practice XVII被引頻次學(xué)科排名
書目名稱Genetic Programming Theory and Practice XVII年度引用
書目名稱Genetic Programming Theory and Practice XVII年度引用學(xué)科排名
書目名稱Genetic Programming Theory and Practice XVII讀者反饋
書目名稱Genetic Programming Theory and Practice XVII讀者反饋學(xué)科排名
作者: 標準 時間: 2025-3-21 23:37 作者: Urologist 時間: 2025-3-22 00:33 作者: Ambiguous 時間: 2025-3-22 06:29 作者: 沒花的是打擾 時間: 2025-3-22 12:17 作者: thwart 時間: 2025-3-22 16:20 作者: thwart 時間: 2025-3-22 19:11
https://doi.org/10.1007/978-3-642-13148-6on items to increase competitive presence of GP in Data Science business applications include: develop a successful marketing strategy toward statistical, machine/deep learning, and business communities; broaden application areas; improve professional development tools; and increase GP visibility and teaching in Data Science classes.作者: 果核 時間: 2025-3-22 22:41 作者: overshadow 時間: 2025-3-23 01:43
https://doi.org/10.1007/978-3-662-26471-3rovide empirical evidence to support our model. The chapter closes with an outline of a modification of the standard GP algorithm that reinforces this bias by converging populations to fit schemata in an accelerated way.作者: 侵略者 時間: 2025-3-23 09:02
How Competitive Is Genetic Programming in Business Data Science Applications?,on items to increase competitive presence of GP in Data Science business applications include: develop a successful marketing strategy toward statistical, machine/deep learning, and business communities; broaden application areas; improve professional development tools; and increase GP visibility and teaching in Data Science classes.作者: 燒烤 時間: 2025-3-23 09:50 作者: Asymptomatic 時間: 2025-3-23 14:17 作者: Irascible 時間: 2025-3-23 21:59
Book 2020and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results..作者: –FER 時間: 2025-3-23 23:42 作者: 完成 時間: 2025-3-24 04:45 作者: abstemious 時間: 2025-3-24 08:43 作者: puzzle 時間: 2025-3-24 14:46
,Durchführung der Felduntersuchungen,advantages of Plush while providing additional benefits. These results illustrate the virtues of unconstrained linear genome representations more generally, and may be transferable to genetic programming systems that target different languages for evolved programs.作者: Rinne-Test 時間: 2025-3-24 16:51
Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, nature of SLM already confers enough diversity to the ensembles such that Bagging and Boosting cannot improve upon a simple averaging ensemble construction method. Finally, some initial results with SLM and Convolutional NNs are presented and future Deep Learning perspectives are discussed.作者: JUST 時間: 2025-3-24 19:57
Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?, bioinformatics classification problem. We developed feature selection analysis methods and aimed at explaining which features are influential in the prediction, and whether such an influence is through individual effects or synergistic effects of combining with other features.作者: floodgate 時間: 2025-3-24 23:29 作者: covert 時間: 2025-3-25 03:22
Comparison of Linear Genome Representations for Software Synthesis,advantages of Plush while providing additional benefits. These results illustrate the virtues of unconstrained linear genome representations more generally, and may be transferable to genetic programming systems that target different languages for evolved programs.作者: glomeruli 時間: 2025-3-25 10:10
Wolfgang Banzhaf,Erik Goodman,Bill WorzelProvides contributions describing cutting-edge work on the theory and applications of genetic programming (GP).Offers large-scale, real-world applications (big data) of GP to a variety of problem doma作者: congenial 時間: 2025-3-25 15:19
https://doi.org/10.1007/978-3-322-90904-6 where many distinct test cases must all be passed. Previous work has shown that random subsampling techniques can improve lexicase selection’s problem-solving success; here, we investigate .. We test two types of random subsampling lexicase variants: down-sampled lexicase, which uses a random subse作者: 向外供接觸 時間: 2025-3-25 16:46
https://doi.org/10.1007/978-3-662-06498-6ll sequential approaches dominate the landscape, available multi-core, many-core and distributed systems will make users and researchers to more frequently deploy parallel version of the algorithms. In such a scenario, new possibilities arise regarding the time saved when parallel evaluation of indi作者: 背信 時間: 2025-3-26 00:01
https://doi.org/10.1007/978-3-642-86097-3es in any supervised learning problem where the error is measured as a distance to the known targets. This chapter studies how different methods of dynamically using the training data affect the resulting generalization of the SLM algorithm. Across four real-world binary classification datasets, SLM作者: 高調(diào) 時間: 2025-3-26 00:28
Grundlagen der Datenvermittlung,nal knowledge when applied to many problems, especially in biomedical sciences. This is often resulted by the highly complex structure employed by machine learning algorithms to represent and model the relationship of the predictors and the response. The prediction accuracy is increased at the cost 作者: 全國性 時間: 2025-3-26 06:01
Technischer Aufbau des Kabelnetzes,ch scenarios often require specific model properties such as interpretability, robustness, trustworthiness and plausibility, that are not easily achievable using standard approaches like genetic programming for symbolic regression. In this chapter we introduce a deterministic symbolic regression alg作者: congenial 時間: 2025-3-26 11:03 作者: squander 時間: 2025-3-26 13:09
Datta‘s Obstetric Anesthesia Handbookaking. As such, the quest is to either provide these systems with internal models about their environment or to imbue machines with the ability to create their own models—ideally the later. These models are mental representations of the environment, and we have previously shown that neuroevolution i作者: NEXUS 時間: 2025-3-26 18:57 作者: Nmda-Receptor 時間: 2025-3-26 21:05 作者: Induction 時間: 2025-3-27 03:01
https://doi.org/10.1007/978-3-322-89327-7ent human-harming accidents when deploying AI systems. This paper thus explores the intersection of AI safety with evolutionary computation, to show how safety issues arise in evolutionary computation and how understanding from evolutionary computational and biological evolution can inform the broad作者: anchor 時間: 2025-3-27 06:45 作者: 惡臭 時間: 2025-3-27 09:57
,Materialkennwerte — Messergebnisse, on problems with different levels of complexity with outstanding results. After a review of the main works, the problem of classification of digitized art is introduced. An image database of five classes downloaded from the Kaggle web site is used as a benchmark for evolutionary learning. A compari作者: In-Situ 時間: 2025-3-27 13:57
,Durchführung der Felduntersuchungen,n which variation operates are referred to as genomes. Unconstrained linear genome representations can provide a variety of advantages, including reduced complexity of program generation, variation, simplification and serialization operations. The Plush genome representation, which uses epigenetic m作者: 尾巴 時間: 2025-3-27 20:34 作者: 滋養(yǎng) 時間: 2025-3-28 00:43 作者: 尊敬 時間: 2025-3-28 02:26
https://doi.org/10.1007/978-3-663-20338-4likely see increased use and development due to the increased availability of computation, more robust and available open source software libraries, and the increasing demand for artificial intelligence techniques. As these techniques become more adopted and capable, it is the right time to take a p作者: 酷熱 時間: 2025-3-28 07:42
https://doi.org/10.1007/978-3-662-26472-0ed to learn what to learn from. However, recent advances—such as visual reinforcement learning—have enabled the tasks typically addressed using RL to expand to include significant amounts of partial observability. This implies that the representation needs to support multiple forms of memory, thus c作者: 使隔離 時間: 2025-3-28 10:43
https://doi.org/10.1007/978-3-662-26471-3solution space) described by a single concrete node at a single position in the expression tree. We show that GP explores these schemata in the same way across three benchmarks, rapidly converging the population to a specific function at each position throughout the upper layers of the expression tr作者: mechanism 時間: 2025-3-28 14:51
Dauerversuche mit NietverbindungenWhen a test suite is considered as the specification, the paradigm is called . Monperrus (ACM Comput Surv 51(1):17, 2018). The test suite should contain at least one negative (i.e., initially failing) test that triggers the bug to be fixed and a number of positive (i.e., initially passing) tests that define the expected program behavior.作者: impale 時間: 2025-3-28 22:43
An Evolutionary System for Better Automatic Software Repair,When a test suite is considered as the specification, the paradigm is called . Monperrus (ACM Comput Surv 51(1):17, 2018). The test suite should contain at least one negative (i.e., initially failing) test that triggers the bug to be fixed and a number of positive (i.e., initially passing) tests that define the expected program behavior.作者: Badger 時間: 2025-3-28 23:18
https://doi.org/10.1007/978-3-322-89327-7ent human-harming accidents when deploying AI systems. This paper thus explores the intersection of AI safety with evolutionary computation, to show how safety issues arise in evolutionary computation and how understanding from evolutionary computational and biological evolution can inform the broader study of AI safety.作者: Cursory 時間: 2025-3-29 03:33 作者: restrain 時間: 2025-3-29 08:55 作者: Epidural-Space 時間: 2025-3-29 12:14 作者: eardrum 時間: 2025-3-29 16:18
https://doi.org/10.1007/978-3-030-39958-0Genetic Programming; Genetic Programming Theory; Genetic Programming Applications; Symbolic Regression; 作者: 雄偉 時間: 2025-3-29 23:05 作者: Cougar 時間: 2025-3-30 02:38
It Is Time for New Perspectives on How to Fight Bloat in GP,at. This new perspective allows us to understand that new methods for bloat control can be derived, and the first of such a method is described and tested. Experimental data confirms the strength of the approach: using computing time as a measure of individuals’ complexity allows to control the grow作者: 可轉(zhuǎn)變 時間: 2025-3-30 05:06 作者: 后退 時間: 2025-3-30 11:22 作者: languid 時間: 2025-3-30 15:13
The Evolution of Representations in Genetic Programming Trees,ets these agents develop representations, works well for Markov Brains, which are a form of Cartesian Genetic Programming network. Conventional artificial neural networks and their recurrent counterparts, RNNs and LSTMs, are however primarily trained by backpropagation and not evolved, and they beha作者: 群居男女 時間: 2025-3-30 19:38 作者: 極少 時間: 2025-3-30 23:13
2019 Evolutionary Algorithms Review,orithm bias due to data or user design, and lastly, the ability to add corrective measures. These areas are motivated by today’s pressures on industry to conform to both societies concerns and new government regulatory rules. As many reviews of evolutionary algorithms exist, after motivating this ne作者: FAST 時間: 2025-3-31 01:57 作者: 修改 時間: 2025-3-31 09:03 作者: 枯燥 時間: 2025-3-31 12:47
https://doi.org/10.1007/978-3-662-06498-6at. This new perspective allows us to understand that new methods for bloat control can be derived, and the first of such a method is described and tested. Experimental data confirms the strength of the approach: using computing time as a measure of individuals’ complexity allows to control the grow作者: Vasodilation 時間: 2025-3-31 16:30
Technischer Aufbau des Kabelnetzes,mpirical tests on a comprehensive benchmark suite show that our approach is competitive with genetic programming in many noiseless problems while maintaining desirable properties such as simple, reliable models and reproducibility.作者: pulmonary-edema 時間: 2025-3-31 20:45 作者: Fatten 時間: 2025-4-1 00:51
Datta‘s Obstetric Anesthesia Handbookets these agents develop representations, works well for Markov Brains, which are a form of Cartesian Genetic Programming network. Conventional artificial neural networks and their recurrent counterparts, RNNs and LSTMs, are however primarily trained by backpropagation and not evolved, and they beha作者: CESS 時間: 2025-4-1 03:13
über die Theorie des Ferromagnetismusablished a new world record for the 20-line sorting network with 91 comparators. In the real-world problem of stock trading, it discovers solutions that generalize significantly better on unseen data. Composite Novelty Pulsation is therefore a promising approach to solving deceptive real-world probl作者: Circumscribe 時間: 2025-4-1 08:21 作者: 公社 時間: 2025-4-1 13:13
https://doi.org/10.1007/978-3-662-26472-0ented with indexed memory using a probabilistic formulation of a write operation (defines long and short term memory) and an indexed read. Moreover, the register information specific to the programs co-operating within a program is used to provide the low dimensional encoding of state. We demonstrat作者: FECK 時間: 2025-4-1 14:20 作者: 正論 時間: 2025-4-1 19:17
Characterizing the Effects of Random Subsampling on Lexicase Selection, where many distinct test cases must all be passed. Previous work has shown that random subsampling techniques can improve lexicase selection’s problem-solving success; here, we investigate .. We test two types of random subsampling lexicase variants: down-sampled lexicase, which uses a random subse作者: 做事過頭 時間: 2025-4-1 23:29
It Is Time for New Perspectives on How to Fight Bloat in GP,ll sequential approaches dominate the landscape, available multi-core, many-core and distributed systems will make users and researchers to more frequently deploy parallel version of the algorithms. In such a scenario, new possibilities arise regarding the time saved when parallel evaluation of indi
