作者: 惰性女人 時(shí)間: 2025-3-21 22:45
Energy Policy, Security and the Market,thod used for indoor positioning (DNNIP) based on stacked auto-encoder and data stratification. The experimental results show that this DNNIP has better classification accuracy than the machine learning algorithms that are based on UJIIndoorLoc dataset.作者: Thyroxine 時(shí)間: 2025-3-22 01:18 作者: 角斗士 時(shí)間: 2025-3-22 06:09 作者: 蘑菇 時(shí)間: 2025-3-22 11:04
Innovation and Development in Latviaformed using a text-mining approach, assuming that the data may contain incomplete information. Besides the description of the algorithm, the results for real-world data fetched from the offers of two consumer electronics retailers are being demonstrated.作者: 無(wú)關(guān)緊要 時(shí)間: 2025-3-22 13:37 作者: 無(wú)關(guān)緊要 時(shí)間: 2025-3-22 19:42 作者: Entropion 時(shí)間: 2025-3-23 00:44
The Political Economics of Sustainability,the same results. The results show that this highly depends on the level the Neural Network is trained because the error is then propagated to the Random Forest model. For good trained ANNs, we can trust in interpretation based on Feature Contributions on average in 80%.作者: 有說(shuō)服力 時(shí)間: 2025-3-23 02:56 作者: 大約冬季 時(shí)間: 2025-3-23 07:01 作者: folliculitis 時(shí)間: 2025-3-23 10:46 作者: ORBIT 時(shí)間: 2025-3-23 14:31 作者: 編輯才信任 時(shí)間: 2025-3-23 18:41 作者: circumvent 時(shí)間: 2025-3-24 00:00
A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSDluence of therapy on the ability of an individual to learn to control the emotional responses to the traumatic mental model was modeled. Finally, a form of second-order adaptation was covered to unblock and activate this learning ability.作者: 安裝 時(shí)間: 2025-3-24 05:20
MGEL: A Robust Malware Encrypted Traffic Detection Method Based on?Ensemble Learning with Multi-grai we introduce the self-attention mechanism to process sequence features and solve the problem of long-term dependence. We verify the effectiveness of the MGEL on two public datasets and the experimental results show that the MGEL approach outperforms other state-of-the-art methods in four evaluation metrics.作者: DAFT 時(shí)間: 2025-3-24 06:50 作者: Picks-Disease 時(shí)間: 2025-3-24 10:57
Explaining the ENRICH Programme Process, presents the results of the experiments validating the advantage of multi-clustering approach, ., over the traditional methods based on single-scheme clustering. The experiments focus on the overall recommendation performance including accuracy and coverage as well as a cold-start problem.作者: 能夠支付 時(shí)間: 2025-3-24 14:55 作者: 落葉劑 時(shí)間: 2025-3-24 21:43
Recurrent Autoencoder with?Sequence-Aware Encodingoutperforms a standard RAE in terms of model training time in most cases. The extensive experiments performed on a dataset of generated sequences of signals shows the advantages of RAES(C). The results show that the proposed solution dominates over the standard RAE, and the training process is the order of magnitude faster.作者: Legion 時(shí)間: 2025-3-25 02:02
Quality of Recommendations and?Cold-Start Problem in Recommender Systems Based on Multi-clusters presents the results of the experiments validating the advantage of multi-clustering approach, ., over the traditional methods based on single-scheme clustering. The experiments focus on the overall recommendation performance including accuracy and coverage as well as a cold-start problem.作者: micturition 時(shí)間: 2025-3-25 03:45 作者: 青春期 時(shí)間: 2025-3-25 08:38 作者: 飛鏢 時(shí)間: 2025-3-25 15:32 作者: Tonometry 時(shí)間: 2025-3-25 19:28
Grasp the Key: Towards Fast and Accurate Host-Based Intrusion Detection in Data Centerson method based on SHapley Additive exPlanations (SHAP) is incorperated to reduce the execution time of the DNN model. Extensive evaluation on two well-known public datasets in this field shows that our proposed method can achieve high-efficiency intrusion detection while ensuring high-precision.作者: 無(wú)底 時(shí)間: 2025-3-25 20:37 作者: Hdl348 時(shí)間: 2025-3-26 03:48 作者: 使增至最大 時(shí)間: 2025-3-26 05:51 作者: 業(yè)余愛(ài)好者 時(shí)間: 2025-3-26 08:32 作者: Expurgate 時(shí)間: 2025-3-26 15:57 作者: 庇護(hù) 時(shí)間: 2025-3-26 18:45
978-3-030-77963-4Springer Nature Switzerland AG 2021作者: 行乞 時(shí)間: 2025-3-27 00:13
Towards Brighter Urban Futures,g (BDEC) has gained immense attention. An example of BDEC is the digital twin concept of a city, a high-fidelity model of the city developed based on a computing system for the BDEC. The virtual experiments using numerical simulations are performed there, whose results are used in decision making. T作者: 叢林 時(shí)間: 2025-3-27 02:36 作者: Palliation 時(shí)間: 2025-3-27 06:16 作者: EVADE 時(shí)間: 2025-3-27 12:49 作者: Allergic 時(shí)間: 2025-3-27 15:13
Energy Policy, Security and the Market,ng the salient information and maintaining the semantic consistency between documents and summaries. To tackle these problems, we propose a novel framework - Gist Information Guided Neural Network (GIGN), which is inspired by the process that people usually summarize a document around the gist infor作者: 一條卷發(fā) 時(shí)間: 2025-3-27 18:03 作者: 營(yíng)養(yǎng) 時(shí)間: 2025-3-27 23:55 作者: 緩和 時(shí)間: 2025-3-28 05:07
Innovation and Development in Latvial modeling, and inference, representatives of these industries can leverage collected data and increase their market performance. To perform assortment optimization – one of the most fundamentals problems in retail – one has to identify products that are present in the competitors’ portfolios. It is作者: Axon895 時(shí)間: 2025-3-28 08:33
Innovation and Development in Latviat. In order to preserve the content, some methods directly remove the style-related words in texts. The remaining content, together with target stylized words, are fused to produce target samples with transferred style. In such a mechanism, two main challenges should be well addressed. First, due to作者: 死貓他燒焦 時(shí)間: 2025-3-28 11:01
Limits to Sustainable Use of Wood Biomassin current models are finite and uninformative, making the generated responses lack diversity and informativeness. In order to address this problem, we propose an . model to sample the latent variables from a continuous sentence embedding space, which can be controlled by the exemplar sentences. The作者: 按等級(jí) 時(shí)間: 2025-3-28 16:08
https://doi.org/10.1007/978-3-319-14883-0alization. Existence of these so called . suggests that we may possibly forego extensive training-and-pruning procedures, and train sparse neural networks from scratch. Unfortunately, winning tickets are data-derived models. That is, while they can be trained from scratch, their architecture is disc作者: Bucket 時(shí)間: 2025-3-28 20:50
The Political Economics of Sustainability,ons, numerical values that domain experts further interpret to reveal some phenomena about a particular instance or model behaviour. In our method, Feature Contributions are calculated from the Random Forest model trained to mimic the Artificial Neural Network’s classification as close as possible. 作者: 復(fù)習(xí) 時(shí)間: 2025-3-29 01:39
How Strong is Weak Sustainability?, covers simulation of the formation of a mental model of a traumatic course of events and its emotional responses that make replay of flashback movies happen. Secondly, it addresses learning processes of how a stimulus can become a trigger to activate this acquired mental model. Furthermore, the inf作者: laxative 時(shí)間: 2025-3-29 05:31
https://doi.org/10.1007/978-94-015-8492-0e real network environment, in the face of Zero-Day attack and Trojan variant technology, we may only get a small number of traffic samples in a short time, which can not meet the training requirements of the model. To solve this problem, this paper proposes a method of Trojan traffic detection usin作者: Collision 時(shí)間: 2025-3-29 07:18 作者: 小教堂 時(shí)間: 2025-3-29 14:30
https://doi.org/10.1007/978-3-030-73110-6 the robustness of the model in different scenarios. In this paper, we propose an . approach based on . features to address this problem which is called MGEL. The MGEL builds diverse base learners using multi-grained features and then identifies malware encrypted traffic in a stacking way. Moreover,作者: Insufficient 時(shí)間: 2025-3-29 19:18
https://doi.org/10.1007/978-3-030-73110-6bels and high false positives. To this end, a novel framework, named TS-Bert, is proposed in this paper. TS-Bert is based on pre-training model Bert and consists of two phases, accordingly. In the pre-training phase, the model learns the behavior features of the time series from massive unlabeled da作者: 不近人情 時(shí)間: 2025-3-29 21:08
Maciej Paszynski,Dieter Kranzlmüller,Peter M. A. S作者: 課程 時(shí)間: 2025-3-30 03:51 作者: crockery 時(shí)間: 2025-3-30 04:17 作者: Flustered 時(shí)間: 2025-3-30 11:25
Towards Brighter Urban Futures,ility due to the discretization setting. In this study, an earthquake simulation method was developed to stably perform high-resolution large-scale simulations by averaging the constitutive law spatially based on a non-local approach. The developed method enables us to stably perform simulations wit作者: malapropism 時(shí)間: 2025-3-30 14:30
Sustainable Development, Energy and the Citys). Second offers GPU computations and is built on top of ThrustRTC and CURandRTC (and does not use Numpy arrays). In the paper, the API is discussed focusing on: data dependencies across steps, parallelisation opportunities, CPU and GPU implementation nuances, and algorithm workflow. Example simula作者: 異端邪說(shuō)下 時(shí)間: 2025-3-30 17:13 作者: calamity 時(shí)間: 2025-3-30 23:54 作者: 門窗的側(cè)柱 時(shí)間: 2025-3-31 03:21 作者: certain 時(shí)間: 2025-3-31 06:50 作者: Corroborate 時(shí)間: 2025-3-31 11:48 作者: 航海太平洋 時(shí)間: 2025-3-31 14:27 作者: 牛馬之尿 時(shí)間: 2025-3-31 19:40
