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標(biāo)題: Titlebook: Artificial Intelligence and Machine Learning; 32nd Benelux Confere Mitra Baratchi,Lu Cao,Frank W. Takes Conference proceedings 2021 Springe [打印本頁]

作者: Fibromyalgia    時間: 2025-3-21 16:04
書目名稱Artificial Intelligence and Machine Learning影響因子(影響力)




書目名稱Artificial Intelligence and Machine Learning影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence and Machine Learning網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence and Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence and Machine Learning被引頻次




書目名稱Artificial Intelligence and Machine Learning被引頻次學(xué)科排名




書目名稱Artificial Intelligence and Machine Learning年度引用




書目名稱Artificial Intelligence and Machine Learning年度引用學(xué)科排名




書目名稱Artificial Intelligence and Machine Learning讀者反饋




書目名稱Artificial Intelligence and Machine Learning讀者反饋學(xué)科排名





作者: notice    時間: 2025-3-21 22:11
1865-0929 ical Activity Using Bayesian Network Learning” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..?.978-3-030-76639-9978-3-030-76640-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: 暫時休息    時間: 2025-3-22 03:51
Caroline Lucy,Julie Wojtaszek,Leah LaLonde on a set of high-dimensional discrete benchmark problems, including a real-life application, against state-of-the-art discrete surrogate-based methods. Our experiments with different kinds of discrete decision variables and time constraints also give more insight into which algorithms work well on
作者: 運(yùn)動吧    時間: 2025-3-22 05:14

作者: 遠(yuǎn)地點(diǎn)    時間: 2025-3-22 12:42

作者: 模范    時間: 2025-3-22 14:37
Stephan D. Voss,Angela M. Feracozens’ behavior into account. We combine a Location Based Social Network (LBSN) mobility data set with tree location data sets, both of New York City and Paris, as a case study. The effect of four different policies is evaluated on simulated movement data and assessed on the average, overall exposure
作者: 禁止    時間: 2025-3-22 17:19

作者: Mobile    時間: 2025-3-23 00:10
,Comparing Correction Methods to?Reduce Misclassification Bias, an expression for the MSE in finite samples, complementing the existing asymptotic results in the literature. The expressions are then used to compute decision boundaries numerically, indicating under which conditions each of the estimators is optimal, i.e., has the lowest MSE. Our main conclusion
作者: 樂器演奏者    時間: 2025-3-23 02:11
,‘Thy Algorithm Shalt Not Bear False Witness’: An Evaluation of Multiclass Debiasing Methods on Word used word embeddings, namely: Word2Vec, GloVe, and ConceptNet, it is shown that the preferred method is ConceptorDebiasing. Specifically, this technique manages to decrease the measured religious bias on average by 82.42%, 96.78% and 54.76% for the three word embedding sets respectively.
作者: 反對    時間: 2025-3-23 07:31

作者: abracadabra    時間: 2025-3-23 13:05

作者: acrophobia    時間: 2025-3-23 16:06

作者: dainty    時間: 2025-3-23 19:00

作者: 額外的事    時間: 2025-3-24 00:23
Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems,valuations. The surrogate, which is cheaper to evaluate, is optimized instead to find an approximate solution to the original problem. In the case of discrete problems, recent research has revolved around discrete surrogate models that are specifically constructed to deal with these problems. A main
作者: REIGN    時間: 2025-3-24 03:37

作者: Insul島    時間: 2025-3-24 08:14
A Spiking Neuron Implementation of Genetic Algorithms for Optimization,ties for making use of efficient neuromorphic hardware. Two types of implementation are explored that offer a complexity trade-off between computational space and time, with both designs having linear energy complexity. The designs were implemented in a simulator to successfully solve the one-max op
作者: 江湖騙子    時間: 2025-3-24 12:02

作者: ALE    時間: 2025-3-24 14:57
,A Semantic Tableau Method for?Argument Construction,for standard propositional and predicate logic is addressed. Next, an extension that enables reasoning with defeasible rules is presented. Finally, reasoning by cases using an argumentation tableau is discussed.
作者: farewell    時間: 2025-3-24 20:45
,‘Thy Algorithm Shalt Not Bear False Witness’: An Evaluation of Multiclass Debiasing Methods on Wordpecifically, in the natural language processing domain, it has been shown that social biases persist in word embeddings and are thus in danger of amplifying these biases when used. As an example of social bias, religious biases are shown to persist in word embeddings and the need for its removal is
作者: 等待    時間: 2025-3-24 23:38
,An Intelligent Tree Planning Approach Using Location-Based Social Networks?Data,where contact with nature is largely reduced to street trees and parks. As optional tree planting sites and financial resources are limited, determining the best planting site can be formulated as an optimization problem with constraints. Can we locate these sites based on the popularity of nearby v
作者: 粗魯?shù)娜?nbsp;   時間: 2025-3-25 05:31

作者: ADORN    時間: 2025-3-25 08:51

作者: LAIR    時間: 2025-3-25 12:30

作者: Sedative    時間: 2025-3-25 17:19

作者: acclimate    時間: 2025-3-25 20:46
https://doi.org/10.1007/978-3-031-62505-3 We explore whether recent state-of-the-art models are capable of recognizing two paraphrased questions using unsupervised learning. Firstly, we test QA models’ performance on an existing paraphrased dataset (Dev-Para). Secondly, we create a new paraphrased evaluation set (Para-SQuAD) containing mul
作者: 休戰(zhàn)    時間: 2025-3-26 00:28
Teryn Bruni,Elizabeth Koval,Luke Turniermine its saliency. Our method can perform pruning before the network has converged, requires little tuning effort due to having good default values for its hyperparameters, and can directly target the level of sparsity desired by the user. Our experiments, performed on a variety of object classifica
作者: Lacerate    時間: 2025-3-26 05:09

作者: 陳舊    時間: 2025-3-26 10:11
Caroline Lucy,Julie Wojtaszek,Leah LaLondevaluations. The surrogate, which is cheaper to evaluate, is optimized instead to find an approximate solution to the original problem. In the case of discrete problems, recent research has revolved around discrete surrogate models that are specifically constructed to deal with these problems. A main
作者: Tdd526    時間: 2025-3-26 15:18
Teryn Bruni,Elizabeth Koval,Luke Turnier. However, if the predictions of an accurate algorithm are aggregated, for example by counting the predictions of a single class label, the result is often still statistically biased. Implementing machine learning algorithms in the context of official statistics is therefore impeded. The statistical
作者: irritation    時間: 2025-3-26 19:28
Paggie Kim,Jennifer Burns-Benggon,Haley Reisties for making use of efficient neuromorphic hardware. Two types of implementation are explored that offer a complexity trade-off between computational space and time, with both designs having linear energy complexity. The designs were implemented in a simulator to successfully solve the one-max op
作者: Juvenile    時間: 2025-3-27 00:36
Paggie Kim,Jennifer Burns-Benggon,Haley Reisroduces a method to solve string-based (symbolic) analogies based on hybrid inferential process integrating Structural Information Theory—a framework used to predict phenomena of perceptual organization—with some metric-based processing. Results are discussed against two empirical experiments, one o
作者: frugal    時間: 2025-3-27 03:17
Gary R. Schooler,Alexander J. Towbinfor standard propositional and predicate logic is addressed. Next, an extension that enables reasoning with defeasible rules is presented. Finally, reasoning by cases using an argumentation tableau is discussed.
作者: Presbycusis    時間: 2025-3-27 05:16

作者: AVID    時間: 2025-3-27 10:23
Stephan D. Voss,Angela M. Feracowhere contact with nature is largely reduced to street trees and parks. As optional tree planting sites and financial resources are limited, determining the best planting site can be formulated as an optimization problem with constraints. Can we locate these sites based on the popularity of nearby v
作者: 閑蕩    時間: 2025-3-27 14:06
https://doi.org/10.1007/978-3-662-69586-9minary study discusses some challenges to apply general machine learning methods to this application domain, and Bayesian networks in particular. We investigate several suitable methods for dealing with missing data, and determine which method obtains good results in terms of fitting the data. Furth
作者: 富饒    時間: 2025-3-27 20:50
https://doi.org/10.1007/978-3-662-69586-9 advanced building material. This building material, that we call Stigmergic Blocks, is capable of computation and local communication. Using comprehensive simulation models based on real hardware, we investigate approaches to improving the efficiency and flexibility of a swarm robotics construction
作者: Antigen    時間: 2025-3-27 22:09

作者: mucous-membrane    時間: 2025-3-28 02:44

作者: 冷峻    時間: 2025-3-28 09:38

作者: Optic-Disk    時間: 2025-3-28 13:58

作者: GUILT    時間: 2025-3-28 17:31

作者: Mawkish    時間: 2025-3-28 21:44

作者: ciliary-body    時間: 2025-3-29 00:20
Conference proceedings 2021 Netherlands, in November 2020. Due to the COVID-19 pandemic the conference was held online.?.The 12 papers presented in this volume were carefully reviewed and selected from 41 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent te
作者: 高原    時間: 2025-3-29 07:06
1865-0929 eiden, The Netherlands, in November 2020. Due to the COVID-19 pandemic the conference was held online.?.The 12 papers presented in this volume were carefully reviewed and selected from 41 regular submissions. They address various aspects of artificial intelligence such as natural language processing
作者: 離開就切除    時間: 2025-3-29 11:14
Paggie Kim,Jennifer Burns-Benggon,Haley Reisal space and time, with both designs having linear energy complexity. The designs were implemented in a simulator to successfully solve the one-max optimization problem, serving as a proof of concept for running genetic algorithms as spiking neural networks.
作者: 貪婪的人    時間: 2025-3-29 15:15
Paggie Kim,Jennifer Burns-Benggon,Haley Reisused to predict phenomena of perceptual organization—with some metric-based processing. Results are discussed against two empirical experiments, one of which conducted along this work, together with the development of a Python version of the SIT encoding algorithm PISA.
作者: 沐浴    時間: 2025-3-29 18:49
A Spiking Neuron Implementation of Genetic Algorithms for Optimization,al space and time, with both designs having linear energy complexity. The designs were implemented in a simulator to successfully solve the one-max optimization problem, serving as a proof of concept for running genetic algorithms as spiking neural networks.
作者: MURKY    時間: 2025-3-29 23:24

作者: 詞根詞綴法    時間: 2025-3-30 02:20

作者: Badger    時間: 2025-3-30 07:32
https://doi.org/10.1007/978-3-662-69586-9al activity behaviour change and how the intervention affects physical activity behaviour and its determinants. We also evaluate the contributions of Bayesian network analysis compared to traditional statistical analyses in this field. Finally, possible extensions on the performed analyses are proposed.
作者: 軍火    時間: 2025-3-30 08:36
Evaluating the Robustness of Question-Answering Models to Paraphrased Questions,ions in continuous space. The results demonstrate that the paraphrased dataset confuses the QA models and decreases their performance. Visualizing the sentence embeddings of Para-SQuAD by the QA models suggests that all models, except BERT, struggle to recognize paraphrased questions effectively.
作者: 切割    時間: 2025-3-30 14:10
,Gaining Insight into Determinants of?Physical Activity Using Bayesian Network Learning,al activity behaviour change and how the intervention affects physical activity behaviour and its determinants. We also evaluate the contributions of Bayesian network analysis compared to traditional statistical analyses in this field. Finally, possible extensions on the performed analyses are proposed.
作者: Obsessed    時間: 2025-3-30 19:02

作者: 有節(jié)制    時間: 2025-3-30 21:03
FlipOut: Uncovering Redundant Weights via Sign Flipping,tion architectures, show that it is competitive with existing methods and achieves state-of-the-art performance for levels of sparsity of . and above for 2 out of 3 of the architectures tested. For reproducibility, we release our code at ..




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