標題: Titlebook: Genetic Programming Theory and Practice X; Rick Riolo,Ekaterina Vladislavleva,Jason H. Moore Book 2013 Springer Science+Business Media New [打印本頁] 作者: False-Negative 時間: 2025-3-21 16:13
書目名稱Genetic Programming Theory and Practice X影響因子(影響力)
書目名稱Genetic Programming Theory and Practice X影響因子(影響力)學(xué)科排名
書目名稱Genetic Programming Theory and Practice X網(wǎng)絡(luò)公開度
書目名稱Genetic Programming Theory and Practice X網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Genetic Programming Theory and Practice X被引頻次
書目名稱Genetic Programming Theory and Practice X被引頻次學(xué)科排名
書目名稱Genetic Programming Theory and Practice X年度引用
書目名稱Genetic Programming Theory and Practice X年度引用學(xué)科排名
書目名稱Genetic Programming Theory and Practice X讀者反饋
書目名稱Genetic Programming Theory and Practice X讀者反饋學(xué)科排名
作者: 伸展 時間: 2025-3-21 22:44 作者: 努力趕上 時間: 2025-3-22 01:04
Cartesian Genetic Programming for Image Processing, image processing. We successfully demonstrate our new approach on several different problem domains. We show that the approach is fast, scalable and robust. In addition, by virtue of using off-the-shelf image processing libraries we can generate human readable programs that incorporate sophisticate作者: 功多汁水 時間: 2025-3-22 05:04
A New Mutation Paradigm for Genetic Programming, be often observed. This implies that, while the vast majority of the strides will be short, on rare occasions, the strides are gigantic. We propose a mutation mechanism in Linear Genetic Programming inspired by this ethological behavior, thus obtaining a self-adaptive mutation rate. We experimental作者: dura-mater 時間: 2025-3-22 11:25
Introducing an Age-Varying Fitness Estimation Function,s a number of partial evaluations based on incomplete information or uncertainties. We show how this method can yield results that are close to similar methods where fitness is measured over the entire dataset, but at a fraction of the speed or memory usage, and in a parallelizable manner. We descri作者: DENT 時間: 2025-3-22 13:36 作者: DENT 時間: 2025-3-22 18:07 作者: 鋪子 時間: 2025-3-23 00:26
Meta-Dimensional Analysis of Phenotypes Using the Analysis Tool for Heritable and Environmental Netth these technological advances, we have made some progress in the identification of genes and proteins associated with common, complex human diseases. Still, our understanding of the genetic architecture of complex traits remains limited and additional research is needed to illuminate the genetic a作者: 使害羞 時間: 2025-3-23 03:28
A Baseline Symbolic Regression Algorithm,history for an academic field which is progressing rapidly. The original published symbolic regression algorithms in (Koza 1994) have long since been replaced by techniques such as pareto front, age layered population structures, and even age pareto front optimization. The lack of specific technique作者: 知識分子 時間: 2025-3-23 07:38 作者: 諄諄教誨 時間: 2025-3-23 11:11
A Framework for the Empirical Analysis of Genetic Programming System Performance,nd . algorithms and heuristics and their interaction with problems of varying difficulty. Following an approach where scientific claims are broken down to testable statistical hypotheses and . runs are treated as experiments, the framework helps to achieve statistically verified results of high repr作者: 背叛者 時間: 2025-3-23 14:57 作者: Intersect 時間: 2025-3-23 18:56
Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model,tate-of-the-art algorithms and implementations are being used. What is needed for industrial symbolic regression are tools to (a) explore and refine the data, (b) explore the developed model space and extract insight and guidance from the available sample of the infinite possibilities of model forms作者: 善辯 時間: 2025-3-23 22:26 作者: 倔強一點 時間: 2025-3-24 06:19
Representing Communication and Learning in Femtocell Pilot Power Control Algorithms,ptimize their coverage. Two aspects of intelligence are used for increasing the complexity of the input and the behaviour, communication and learning. In this initial study we investigate how to evolve more complex behaviour in decentralized control algorithms by changing the representation of commu作者: Antioxidant 時間: 2025-3-24 10:15 作者: Criteria 時間: 2025-3-24 13:45 作者: 盤旋 時間: 2025-3-24 16:16 作者: 譏笑 時間: 2025-3-24 22:28
https://doi.org/10.1007/978-3-322-85476-6 the other infusing the evolutionary setup with expertise in the form of domain heuristics. We show that the first approach works well for several popular board games, while the second produces top-notch solvers for the hard game of FreeCell.作者: 彩色的蠟筆 時間: 2025-3-25 03:13
Arbeitsebenen in FileMaker Pro, have the properties of elasticity and robustness required to run well on the cloud. We present a prototyped design for a decentralized, heterogeneous, robust, self-scaling, self-factoring, self-aggregating genetic programming algorithm. We investigate its properties using a software “sandbox”.作者: 藥物 時間: 2025-3-25 05:50
Cartesian Genetic Programming for Image Processing, image processing. We successfully demonstrate our new approach on several different problem domains. We show that the approach is fast, scalable and robust. In addition, by virtue of using off-the-shelf image processing libraries we can generate human readable programs that incorporate sophisticated domain knowledge.作者: 偶像 時間: 2025-3-25 08:56 作者: 一罵死割除 時間: 2025-3-25 15:06
A Framework for the Empirical Analysis of Genetic Programming System Performance,nd . algorithms and heuristics and their interaction with problems of varying difficulty. Following an approach where scientific claims are broken down to testable statistical hypotheses and . runs are treated as experiments, the framework helps to achieve statistically verified results of high reproducibility.作者: 敲詐 時間: 2025-3-25 18:57
More or Less? Two Approaches to Evolving Game-Playing Strategies, the other infusing the evolutionary setup with expertise in the form of domain heuristics. We show that the first approach works well for several popular board games, while the second produces top-notch solvers for the hard game of FreeCell.作者: fabricate 時間: 2025-3-25 20:15
FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud, have the properties of elasticity and robustness required to run well on the cloud. We present a prototyped design for a decentralized, heterogeneous, robust, self-scaling, self-factoring, self-aggregating genetic programming algorithm. We investigate its properties using a software “sandbox”.作者: 有幫助 時間: 2025-3-26 00:14 作者: 調(diào)色板 時間: 2025-3-26 05:52
978-1-4939-0068-8Springer Science+Business Media New York 2013作者: NAUT 時間: 2025-3-26 09:57 作者: 臨時抱佛腳 時間: 2025-3-26 15:45
Versuchsanordnung und Datenerhebung,hods such as genetic programming have previously been applied to several aspects of the problem of discovering knowledge in databases. The more specific task of producing human-comprehensible SQL queries has several potential applications but has thus far been explored only to a limited extent. In t作者: achlorhydria 時間: 2025-3-26 20:07 作者: Exonerate 時間: 2025-3-26 21:21 作者: 不能強迫我 時間: 2025-3-27 03:31 作者: 詞匯 時間: 2025-3-27 07:57
Multiple lineare Regressionsanalyse,s a number of partial evaluations based on incomplete information or uncertainties. We show how this method can yield results that are close to similar methods where fitness is measured over the entire dataset, but at a fraction of the speed or memory usage, and in a parallelizable manner. We descri作者: indenture 時間: 2025-3-27 11:07
Mittelwertvergleiche und Varianzanalyse,ework. The framework enables robust and massive-scale evolution and motivates the hub and spoke network topology of EC-Star’s distributed GP model. In this model an Evolution Coordinator occupies the hub and an Evolutionary Engine occupies each spoke. The Evolution Coordinator uses a layered framewo作者: Neuralgia 時間: 2025-3-27 16:08
https://doi.org/10.1007/978-3-8349-9654-1ent study is make extensions and enhancements to a computational evolution system (CES) that has the ultimate objective of tinkering with data as a human would. This is accomplished by providing flexibility in the model-building process and a meta-layer that learns how to generate better models. The作者: Subjugate 時間: 2025-3-27 21:49
Heinz-Adalbert Krebs,Patricia Hagenweilerth these technological advances, we have made some progress in the identification of genes and proteins associated with common, complex human diseases. Still, our understanding of the genetic architecture of complex traits remains limited and additional research is needed to illuminate the genetic a作者: hemoglobin 時間: 2025-3-28 00:27 作者: CLASP 時間: 2025-3-28 03:01 作者: 腐爛 時間: 2025-3-28 08:34 作者: Synapse 時間: 2025-3-28 14:21
https://doi.org/10.1007/978-3-322-85476-6 the other infusing the evolutionary setup with expertise in the form of domain heuristics. We show that the first approach works well for several popular board games, while the second produces top-notch solvers for the hard game of FreeCell.作者: sparse 時間: 2025-3-28 16:06
Eine einfache Datenbank mit Adimens,tate-of-the-art algorithms and implementations are being used. What is needed for industrial symbolic regression are tools to (a) explore and refine the data, (b) explore the developed model space and extract insight and guidance from the available sample of the infinite possibilities of model forms作者: NOTCH 時間: 2025-3-28 22:15 作者: Pageant 時間: 2025-3-29 00:30 作者: 繞著哥哥問 時間: 2025-3-29 05:03
Mittelwertvergleiche und Varianzanalyse,rk to dispatch high performing, partially evaluated candidate solutions for additional fitness-case exposure, genetic mixing, and evolution to its Evolutionary Engines. It operates asynchronously with each Evolutionary Engine and never blocks waiting for results from an Evolutionary Engine.作者: 黃瓜 時間: 2025-3-29 10:53
EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System,rk to dispatch high performing, partially evaluated candidate solutions for additional fitness-case exposure, genetic mixing, and evolution to its Evolutionary Engines. It operates asynchronously with each Evolutionary Engine and never blocks waiting for results from an Evolutionary Engine.作者: 有害 時間: 2025-3-29 14:08 作者: 刺耳的聲音 時間: 2025-3-29 16:28 作者: Lacerate 時間: 2025-3-29 20:40
Introducing an Age-Varying Fitness Estimation Function,r methods where fitness is measured over the entire dataset, but at a fraction of the speed or memory usage, and in a parallelizable manner. We describe our experience in applying this method to a real world application in the form of evolving equity trading strategies.作者: Daily-Value 時間: 2025-3-30 01:50 作者: enmesh 時間: 2025-3-30 07:25 作者: jarring 時間: 2025-3-30 10:24
A New Mutation Paradigm for Genetic Programming,we compare different common values of the power-law exponent to the another self-adaptive mutation mechanism directly inspired by Simulated Annealing. We conclude that our novel method is a viable alternative to constant and self-adaptive mutation rates, especially because it tends to reduce the number of parameters of genetic programming.作者: FECT 時間: 2025-3-30 14:32 作者: Detonate 時間: 2025-3-30 17:18
Evolving SQL Queries from Examples with Developmental Genetic Programming,hat a developmental genetic programming system can produce queries that are reasonably accurate while excelling in human comprehensibility relative to the well-known C5.0 decision tree generation system.作者: 沉默 時間: 2025-3-30 23:49
https://doi.org/10.1007/978-3-531-91034-5f a number of different build options. As a proof-of-concept we compare three variations of evolutionary learning models for a color-following problem on a robot based on one of the designs: a simple neural network learning framework of the type typically seen in current research, a more extensive l作者: 場所 時間: 2025-3-31 01:25
https://doi.org/10.1007/978-3-8349-9654-1 or biological expert knowledge. The goal of the present study was to apply CES to the genetic analysis of prostate cancer aggressiveness in a large sample of European Americans. We introduce here the use of Pareto-optimization to help address overfitting in the learning system. We further introduce作者: 小步舞 時間: 2025-3-31 08:31
Heinz-Adalbert Krebs,Patricia Hagenweilermplex traits. In this chapter, we discuss the challenges in handling meta-dimensional data usinggrammatical evolution neural networks (GENN) which are one modeling component ofATHENA, and a characterization of the models identified in simulation studies to explore the ability of GENN to build comple作者: 熱心 時間: 2025-3-31 12:51 作者: LVAD360 時間: 2025-3-31 16:24
