標(biāo)題: Titlebook: Black Box Optimization, Machine Learning, and No-Free Lunch Theorems; Panos M. Pardalos,Varvara Rasskazova,Michael N. Vr Book 2021 Springe [打印本頁(yè)] 作者: Clinical-Trial 時(shí)間: 2025-3-21 16:28
書目名稱Black Box Optimization, Machine Learning, and No-Free Lunch Theorems影響因子(影響力)
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書目名稱Black Box Optimization, Machine Learning, and No-Free Lunch Theorems讀者反饋學(xué)科排名
作者: frivolous 時(shí)間: 2025-3-21 22:35
978-3-030-66517-3Springer Nature Switzerland AG 2021作者: intoxicate 時(shí)間: 2025-3-22 00:35 作者: 共同時(shí)代 時(shí)間: 2025-3-22 08:01
Black-Box and Data-Driven Computation,exponential growth in big data recently, data-driven computation has utilized black box as a tool for proving solutions to some computational problems. In this note, we present several observations on this new role of black box using reduction techniques in the computational complexity theory.作者: Thyroxine 時(shí)間: 2025-3-22 10:59
Mathematically Rigorous Global Optimization and Fuzzy Optimization,of the tools used in implementations are similar or identical. We review, compare and contrast basic ideas and applications behind these areas, referring to some of the work in the very large literature base.作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-22 16:49 作者: 污穢 時(shí)間: 2025-3-22 18:00 作者: muster 時(shí)間: 2025-3-23 01:14
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems978-3-030-66515-9Series ISSN 1931-6828 Series E-ISSN 1931-6836 作者: FLIP 時(shí)間: 2025-3-23 01:22 作者: 甜食 時(shí)間: 2025-3-23 08:28
Grundlagen der Schwingungslehre,exponential growth in big data recently, data-driven computation has utilized black box as a tool for proving solutions to some computational problems. In this note, we present several observations on this new role of black box using reduction techniques in the computational complexity theory.作者: aneurysm 時(shí)間: 2025-3-23 12:36 作者: GROVE 時(shí)間: 2025-3-23 17:21 作者: 噱頭 時(shí)間: 2025-3-23 21:11
https://doi.org/10.1007/978-3-662-52785-6ineering, energy and the environment, materials design, drug discovery, chemical process synthesis, and computational biology. In this chapter, we present an overview of theoretical advancements, algorithmic developments, implementations, and several applications of BBO. Lastly, we point to open pro作者: ATOPY 時(shí)間: 2025-3-24 02:05
Die technische Torsionstheorie,thm tuning is important because it helps to avoid wrong parameter settings, to improve the existing algorithms, to select the best algorithm for working with a real-world problem, to show the value of a novel algorithm, to evaluate the performance of an optimization algorithm when different option s作者: Infusion 時(shí)間: 2025-3-24 02:39
Die technische Torsionstheorie,lgorithms search for the highest peaks in the search space that can be more than one. Quality-Diversity algorithms are a recent addition to the evolutionary computation toolbox that do not only search for a single set of local optima, but instead try to illuminate the search space. In effect, they p作者: 芭蕾舞女演員 時(shí)間: 2025-3-24 07:18
,Impuls, Drehimpuls und Sto? starrer K?rper, evolutionary algorithms were originally proposed in the mid-1980s, but it was until the mid-1990s when they started to attract interest from researchers. Today, we have a wide variety of algorithms, and research in this area has become highly specialized. This chapter attempts to provide a general 作者: 反復(fù)無(wú)常 時(shí)間: 2025-3-24 14:18
Grundlagen der Schwingungslehre,exponential growth in big data recently, data-driven computation has utilized black box as a tool for proving solutions to some computational problems. In this note, we present several observations on this new role of black box using reduction techniques in the computational complexity theory.作者: WITH 時(shí)間: 2025-3-24 17:25
https://doi.org/10.1007/978-3-540-36041-4of the tools used in implementations are similar or identical. We review, compare and contrast basic ideas and applications behind these areas, referring to some of the work in the very large literature base.作者: 猛然一拉 時(shí)間: 2025-3-24 20:11
Grundlagen der Schwingungslehre,ake this future state better. In some practical situations, we know how the state changes with time—e.g., in meteorology, we know the partial differential equations that describe the atmospheric processes. In such situations, prediction becomes a purely computational problem. In many other situation作者: 虛弱的神經(jīng) 時(shí)間: 2025-3-25 00:38 作者: Lament 時(shí)間: 2025-3-25 07:18
Grundlagen der Schwingungslehre,ted values of . are between 5 and 50; . can be in hundreds or thousands and the designs (collections of points) are nested. This paper is a continuation of our paper (Noonan and Zhigljavsky, SN Oper Res Forum, 2020), where we have theoretically investigated several simple schemes and numerically stu作者: Regurgitation 時(shí)間: 2025-3-25 10:23 作者: MELD 時(shí)間: 2025-3-25 11:46
Energiemethoden der Elastostatik, probably the fundamental theoretical result of the Machine Learning field but its practical meaning and implication for practitioners facing “real life” industrial and design optimization problems are rarely addressed in the technical literature. This discussion is intended for a broad audience of 作者: HEAVY 時(shí)間: 2025-3-25 18:18 作者: Hearten 時(shí)間: 2025-3-25 21:22 作者: CAB 時(shí)間: 2025-3-26 00:51
Black-Box Optimization: Methods and Applications,ineering, energy and the environment, materials design, drug discovery, chemical process synthesis, and computational biology. In this chapter, we present an overview of theoretical advancements, algorithmic developments, implementations, and several applications of BBO. Lastly, we point to open pro作者: paroxysm 時(shí)間: 2025-3-26 04:41
Tuning Algorithms for Stochastic Black-Box Optimization: State of the Art and Future Perspectives,thm tuning is important because it helps to avoid wrong parameter settings, to improve the existing algorithms, to select the best algorithm for working with a real-world problem, to show the value of a novel algorithm, to evaluate the performance of an optimization algorithm when different option s作者: 防御 時(shí)間: 2025-3-26 09:42 作者: 傲慢人 時(shí)間: 2025-3-26 14:22
Multi-Objective Evolutionary Algorithms: Past, Present, and Future, evolutionary algorithms were originally proposed in the mid-1980s, but it was until the mid-1990s when they started to attract interest from researchers. Today, we have a wide variety of algorithms, and research in this area has become highly specialized. This chapter attempts to provide a general 作者: Nucleate 時(shí)間: 2025-3-26 19:38 作者: Pandemic 時(shí)間: 2025-3-27 00:06 作者: arsenal 時(shí)間: 2025-3-27 02:12
Optimization Under Uncertainty Explains Empirical Success of Deep Learning Heuristics,ake this future state better. In some practical situations, we know how the state changes with time—e.g., in meteorology, we know the partial differential equations that describe the atmospheric processes. In such situations, prediction becomes a purely computational problem. In many other situation作者: Infant 時(shí)間: 2025-3-27 05:47 作者: BLANK 時(shí)間: 2025-3-27 11:45
Non-lattice Covering and Quantization of High Dimensional Sets,ted values of . are between 5 and 50; . can be in hundreds or thousands and the designs (collections of points) are nested. This paper is a continuation of our paper (Noonan and Zhigljavsky, SN Oper Res Forum, 2020), where we have theoretically investigated several simple schemes and numerically stu作者: 欲望小妹 時(shí)間: 2025-3-27 13:48
Finding Effective SAT Partitionings Via Black-Box Optimization,ariables of an original formula to partition it into a family of subproblems that are significantly easier to solve individually. While it is usually very hard to estimate the time required to solve a hard SAT instance without actually solving it, the partitionings of the presented kind make it poss作者: Feedback 時(shí)間: 2025-3-27 19:23
The No Free Lunch Theorem: What Are its Main Implications for the Optimization Practice?, probably the fundamental theoretical result of the Machine Learning field but its practical meaning and implication for practitioners facing “real life” industrial and design optimization problems are rarely addressed in the technical literature. This discussion is intended for a broad audience of 作者: ALT 時(shí)間: 2025-3-27 22:43 作者: 他很靈活 時(shí)間: 2025-3-28 05:13
Die technische Torsionstheorie,de a gentle introduction to Quality-Diversity optimization, discuss the main representative algorithms, and the main current topics under consideration in the community. Throughout the chapter, we also discuss several successful applications of Quality-Diversity algorithms, including deep learning, 作者: custody 時(shí)間: 2025-3-28 09:30 作者: 做方舟 時(shí)間: 2025-3-28 13:20 作者: 得罪 時(shí)間: 2025-3-28 16:11
Zentrale Kraftsysteme in der Ebene of the many results in the literature that establish the strength of a particular algorithm without assuming a particular distribution. They also motivate a “dictionary” between supervised learning and improving blackbox optimization, which allows one to “translate” techniques from supervised learn作者: Orchiectomy 時(shí)間: 2025-3-28 19:39 作者: invulnerable 時(shí)間: 2025-3-28 23:23
Variable Neighborhood Programming as a Tool of Machine Learning,m (VNP-SRP) and tested and compared on usual test instances from the literature. In addition, the VNP-SRP method is tested in finding formulas for life expectancy as a function of some health care economic factors in 18 Russian districts. Finally, the VNP is implemented on prediction and classificat作者: 竊喜 時(shí)間: 2025-3-29 03:09 作者: 輕快走過(guò) 時(shí)間: 2025-3-29 08:18 作者: amputation 時(shí)間: 2025-3-29 11:53
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems作者: 果核 時(shí)間: 2025-3-29 18:07
1931-6828 anges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem..978-3-030-66517-3978-3-030-66515-9Series ISSN 1931-6828 Series E-ISSN 1931-6836 作者: 蓋他為秘密 時(shí)間: 2025-3-29 21:07
1931-6828 rigour and heuristics approaches equip the reader with diffe.This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as作者: Corroborate 時(shí)間: 2025-3-30 02:02
Energiemethoden der Elastostatik,fe” industrial and design optimization problems are rarely addressed in the technical literature. This discussion is intended for a broad audience of mathematicians, engineers, and computer scientists and presents a probabilistic understanding of the theorem that can shed light to its meaning and impact in the industrial optimization practice.作者: 熄滅 時(shí)間: 2025-3-30 06:02
The No Free Lunch Theorem: What Are its Main Implications for the Optimization Practice?,fe” industrial and design optimization problems are rarely addressed in the technical literature. This discussion is intended for a broad audience of mathematicians, engineers, and computer scientists and presents a probabilistic understanding of the theorem that can shed light to its meaning and impact in the industrial optimization practice.
