作者: 考古學(xué) 時(shí)間: 2025-3-21 22:24
H. U. E. Thoden van Velzen,W. van Weteringtions required, but at a cost to generalisation. Moreover, naively regularising the Jacobian norm can make the ODE system more ill-conditioned, contrary to what is believed in the literature. As an alternative, we regularise the condition number of the Jacobian and observe a lower number of function作者: 冒失 時(shí)間: 2025-3-22 04:10 作者: WAIL 時(shí)間: 2025-3-22 05:25
Other Peoples’ Religions are Absurd has on the in-game playstyle classification’s accuracy, prediction stability, and generalisability. We apply and test our framework using MiniDungeons, a rogue-like dungeon exploration game, and further evaluate our framework using a natural dataset containing human player action data from the plat作者: etidronate 時(shí)間: 2025-3-22 09:54
Gloria Gabbianelli,Agnese Formicastically significant improvement in prediction accuracy, which confirms the effectiveness of including auxiliary information in a context-aware recommendation system. We report a 4% and 11% increase in the NDCG score for long and short user sequence datasets, respectively.作者: 放牧 時(shí)間: 2025-3-22 16:04 作者: Bumptious 時(shí)間: 2025-3-22 18:36
https://doi.org/10.1007/978-3-662-36733-9amely boredom, confusion, frustration, and engagement. Dataset for Affective States in E-Environment (DAiSEE) was used to train, validate, and test the baseline model, which reported an accuracy of 86% on 4305 test samples. In the next stage, mappings between estimated affective states and learning 作者: 新手 時(shí)間: 2025-3-23 00:47 作者: 無聊點(diǎn)好 時(shí)間: 2025-3-23 04:44 作者: SUGAR 時(shí)間: 2025-3-23 07:07 作者: IVORY 時(shí)間: 2025-3-23 10:33 作者: 灌輸 時(shí)間: 2025-3-23 13:58 作者: calamity 時(shí)間: 2025-3-23 21:53 作者: MUT 時(shí)間: 2025-3-24 01:18
Towards a?Methodology for?Addressing Missingness in?Datasets, with?an?Application to?Demographic Heamework involving clustering, classification and direct imputation analysis. Our results show that models trained on synthetic and imputed datasets could make predictions with an accuracy of . and . on .) an unseen real dataset and .) an unseen reserved synthetic test dataset, respectively. Moreover,作者: GUILE 時(shí)間: 2025-3-24 03:41
Adaptive Reasoning: An Affect Related Feedback Approach for?Enhanced E-Learningamely boredom, confusion, frustration, and engagement. Dataset for Affective States in E-Environment (DAiSEE) was used to train, validate, and test the baseline model, which reported an accuracy of 86% on 4305 test samples. In the next stage, mappings between estimated affective states and learning 作者: canonical 時(shí)間: 2025-3-24 07:11 作者: 小官 時(shí)間: 2025-3-24 13:08
1865-0929 organized on the topical sections on? algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI.?978-3-031-22320-4978-3-031-22321-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Seminar 時(shí)間: 2025-3-24 15:36 作者: 鬼魂 時(shí)間: 2025-3-24 22:37
1865-0929 eld in?Stellenbosch, South Africa, in? December 2022.?.The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on? algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI.?97作者: precede 時(shí)間: 2025-3-25 00:20 作者: BINGE 時(shí)間: 2025-3-25 05:22
Explorations in the anthropology of religionrom one another, we provide a plausible explanation for this observation. We support our findings with an analysis of fully-connected networks trained on noise-corrupted MNIST data, as well as convolutional networks trained on noise-corrupted CIFAR10 data.作者: 有雜色 時(shí)間: 2025-3-25 11:19 作者: 滴注 時(shí)間: 2025-3-25 14:25 作者: 清洗 時(shí)間: 2025-3-25 16:02
The Missing Margin: How Sample Corruption Affects Distance to?the?Boundary in?ANNsrom one another, we provide a plausible explanation for this observation. We support our findings with an analysis of fully-connected networks trained on noise-corrupted MNIST data, as well as convolutional networks trained on noise-corrupted CIFAR10 data.作者: 貪婪的人 時(shí)間: 2025-3-25 21:07
CASA: Cricket Action Similarity Assessment in?Video Footage Using Deep Metric Learningning to action similarity. Three architectures are proposed to determine which architecture is best suited for the domain: ., ., and .. From the results obtained, it can be concluded that the best solution for the . task within cricket video footage is a Siamese . architecture, achieving a model accuracy of 98%.作者: PUT 時(shí)間: 2025-3-26 03:44
From GNNs to?Sparse Transformers: Graph-Based Architectures for?Multi-hop Question Answeringole of graph sparsity, graph structure, and edge features in our GNNs. We find that task-specific graph structuring rules outperform the random connections used in Sparse Transformers. We also show that utilising edge type information alleviates performance losses introduced by sparsity.作者: 馬具 時(shí)間: 2025-3-26 04:58
Conference proceedings 2022llenbosch, South Africa, in? December 2022.?.The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on? algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI.?作者: 把手 時(shí)間: 2025-3-26 11:27
Other Peoples’ Religions are Absurdn the database is evaluated by computing the Euclidean distance between the HOG feature vectors. The proposed method achieved an error score of 123.02 on the IRMA dataset, which represents an improvement of 7.12% over the state-of-the-art result.作者: 新星 時(shí)間: 2025-3-26 13:27 作者: 讓空氣進(jìn)入 時(shí)間: 2025-3-26 19:47
https://doi.org/10.1007/978-3-319-54027-6world regression problem with artificially simulated outliers, in the context of ANN training. CLF yielded results that were either comparable to or better than the results yielded by MSE, with a few notable exceptions.作者: 變色龍 時(shí)間: 2025-3-26 22:19
The Ideal Type in Weber and Schutzl justifications are computed based on materialised formulas (classical counterparts of defeasible formulas). The resulting classical justifications are converted to defeasible justifications, based on the input knowledge base. We provide an initial evaluation of the framework and the software tool by testing it with a representative example.作者: 摸索 時(shí)間: 2025-3-27 02:53
Explorative und Deskriptive Statistikelf-supervised architecture (WavLM). We experiment with a code-switched corpus consisting of five South African languages (isiZulu, isiXhosa, Setswana, Sesotho and English) and show substantial diarization error rate improvements for language families, language groups, and individual languages over baseline systems.作者: Asseverate 時(shí)間: 2025-3-27 05:42 作者: Painstaking 時(shí)間: 2025-3-27 10:50
Content-Based Medical Image Retrieval Using a?Class Similarity-Aware Cross-Entropy Lossn the database is evaluated by computing the Euclidean distance between the HOG feature vectors. The proposed method achieved an error score of 123.02 on the IRMA dataset, which represents an improvement of 7.12% over the state-of-the-art result.作者: GRAIN 時(shí)間: 2025-3-27 14:48
ST-GNNs for?Weather Prediction in?South Africarent prediction horizons with an average SMAPE score of 8.30%. We also analyse and compare learnt adjacency matrices of the two ST-GNNs to gain insights into the prominent spatial-temporal dependencies between weather stations.作者: 評(píng)論者 時(shí)間: 2025-3-27 21:25 作者: oncologist 時(shí)間: 2025-3-27 23:06 作者: 有發(fā)明天才 時(shí)間: 2025-3-28 03:17
Fine-Tuned Self-supervised Speech Representations for?Language Diarization in?Multilingual Code-Switelf-supervised architecture (WavLM). We experiment with a code-switched corpus consisting of five South African languages (isiZulu, isiXhosa, Setswana, Sesotho and English) and show substantial diarization error rate improvements for language families, language groups, and individual languages over baseline systems.作者: occult 時(shí)間: 2025-3-28 09:37 作者: Hyaluronic-Acid 時(shí)間: 2025-3-28 11:40
Adversarial Training for?Channel State Information Estimation in?LTE Multi-antenna Systemsof such networks without increasing their complexity, since the wireless environment requires solutions with high performance while constraining implementation cost. For this reason, we investigate the use of adversarial training, which has been successfully applied to image super-resolution tasks t作者: Pander 時(shí)間: 2025-3-28 16:34 作者: Ingratiate 時(shí)間: 2025-3-28 21:59
Jacobian Norm Regularisation and?Conditioning in?Neural ODEsuations needed by a numerical ODE solver during training. For instance, in the context of continuous normalising flows, the Frobenius norm of Jacobian matrices are regularised under the hypothesis that complex dynamics relate to an ill-conditioned ODE and require more function evaluations from the s作者: 圓柱 時(shí)間: 2025-3-29 01:31
Improving Cause-of-Death Classification from?Verbal Autopsy Reportsality policies. Further, since clinical data is unique to individual institutions and laboratories, there are insufficient data annotation standards and conventions. As a result of the scarcity of textual data, natural language processing (NLP) techniques have fared poorly in the health sector. A ca作者: 得體 時(shí)間: 2025-3-29 05:51 作者: Airtight 時(shí)間: 2025-3-29 08:18 作者: Ischemia 時(shí)間: 2025-3-29 14:22
ST-GNNs for?Weather Prediction in?South Africafor weather prediction applications. We compare and evaluate Graph WaveNet (GWN) and the Low Rank Weighted Graph Neural Network (WGN) for weather prediction in South Africa. We compare these results to two basic temporal deep neural networks architectures, i.e. the Long Short-Term Memory (LSTM) and 作者: 教唆 時(shí)間: 2025-3-29 18:08 作者: endarterectomy 時(shí)間: 2025-3-29 23:47
Cauchy Loss Function: Robustness Under Gaussian and?Cauchy Noisetly used mean squared error (MSE) loss assumes a Gaussian noise distribution. The choice of loss function during training and testing affects the performance of artificial neural networks (ANNs). It is known that MSE may yield substandard performance in the presence of outliers. The Cauchy loss func作者: adhesive 時(shí)間: 2025-3-30 01:00
CASA: Cricket Action Similarity Assessment in?Video Footage Using Deep Metric Learning Assessment is the task of comparing the similarity or dissimilarity of an action between two actors to determine how similar the actions they perform are to one another. This research paper proposes the use of a Siamese Convolution Neural Network to compute the similarity distances between differen作者: 重力 時(shí)間: 2025-3-30 07:35
From GNNs to?Sparse Transformers: Graph-Based Architectures for?Multi-hop Question Answeringhat the Transformer is a particular message passing GNN, in this paper we perform an architectural analysis and evaluation to investigate why the Transformer outperforms other GNNs on MHQA. We simplify existing GNN-based MHQA models and leverage this system to compare GNN architectures in a lower co作者: 刺耳 時(shí)間: 2025-3-30 10:04
Towards a?Methodology for?Addressing Missingness in?Datasets, with?an?Application to?Demographic Heaa methodology for tackling missing data problems using a combination of synthetic dataset generation, missing data imputation and deep learning methods to resolve missing data challenges. Specifically, we conducted a series of experiments with these objectives; .) generating a realistic synthetic da作者: Sinus-Rhythm 時(shí)間: 2025-3-30 16:23
Defeasible Justification Using the?KLM Frameworksible reasoning using the KLM framework are often challenging to understand. Therefore, one needs a framework within which it is possible to provide justifications for conclusions drawn from defeasible reasoning. This paper proposes a theoretical framework for defeasible justification in PL and a so作者: Graduated 時(shí)間: 2025-3-30 17:00
Relevance in?the?Computation of?Non-monotonic Inferencestem P and lexicographic inference. For most of these systems, inference has a high worst-case computational complexity. Recently, the notion of syntax splitting has been formulated, which allows restricting attention to subsets of conditionals relevant for a given query. In this paper, we define alg作者: 無脊椎 時(shí)間: 2025-3-31 00:24
Adaptive Reasoning: An Affect Related Feedback Approach for?Enhanced E-Learningial expressions have the potential to reveal nonverbal cues about a learner’s learning affect. However, most studies were limited in their analysis of learning affects exhibited by a learner with the possibility of providing appropriate feedback to teachers and learners. This work proposes an adapti作者: 單調(diào)女 時(shí)間: 2025-3-31 01:35 作者: Flu表流動(dòng) 時(shí)間: 2025-3-31 06:41 作者: 滑動(dòng) 時(shí)間: 2025-3-31 10:46 作者: 使困惑 時(shí)間: 2025-3-31 14:59
https://doi.org/10.1007/978-3-031-22321-1artificial intelligence; computational linguistics; computer networks; computer vision; databases; Human-作者: 他去就結(jié)束 時(shí)間: 2025-3-31 20:05
978-3-031-22320-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 冰雹 時(shí)間: 2025-3-31 23:28 作者: 鋸齒狀 時(shí)間: 2025-4-1 04:22
Other Peoples’ Religions are Absurdsists in building a classification model using a state-of-the-art convolutional neural network for a preliminary screening of the query images. The classification model is trained using a weighted cross-entropy cost function that accounts for the similarity between classes. The second step of our CB作者: HUMID 時(shí)間: 2025-4-1 09:56
