派博傳思國際中心

標題: Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable [打印本頁]

作者: Maculate    時間: 2025-3-21 17:52
書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




書目名稱Neural Information Processing年度引用




書目名稱Neural Information Processing年度引用學(xué)科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學(xué)科排名





作者: transdermal    時間: 2025-3-21 23:13
Neural Information Processing978-981-99-8126-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: 裙帶關(guān)系    時間: 2025-3-22 01:23

作者: SEMI    時間: 2025-3-22 05:17

作者: 葡萄糖    時間: 2025-3-22 12:29

作者: exigent    時間: 2025-3-22 16:03

作者: 碳水化合物    時間: 2025-3-22 18:04

作者: 繁榮地區(qū)    時間: 2025-3-22 22:00

作者: ALE    時間: 2025-3-23 03:09

作者: 令人苦惱    時間: 2025-3-23 06:46
Efficient Hierarchical Reinforcement Learning via?Mutual Information Constrained Subgoal Discoveryhe extensive subgoal space often results in low sample efficiency and challenging exploration. To address this issue, we extract informative subgoals by constraining their generation range in mutual information distance space. Specifically, we impose two constraints on the high-level policy during o
作者: arousal    時間: 2025-3-23 12:24
Accelerate Support Vector Clustering via?Spectral Data Compression while preserving the key cluster properties of the original data sets based on a novel spectral data compression approach. Then, the resultant spectrally-compressed data sets are leveraged for the development of fast and high quality algorithm for support vector clustering. We conducted extensive e
作者: CON    時間: 2025-3-23 15:15
A Novel Iterative Fusion Multi-task Learning Framework for?Solving Dense Predictiontimation, Edge Estimation, etc. With advanced deep learning, many dense prediction tasks have been greatly improved. Multi-task learning is one of the top research lines to boost task performance further. Properly designed multi-task model architectures have better performance and minor memory usage
作者: Chivalrous    時間: 2025-3-23 19:12
Anti-interference Zeroing Neural Network Model for?Time-Varying Tensor Square Root Findingut existing research mainly focuses on solving the time-invariant matrix square root problem. So far, few researchers have studied the time-varying tensor square root (TVTSR) problem. In this study, a novel anti-interference zeroing neural network (AIZNN) model is proposed to solve TVTSR problem onl
作者: Hirsutism    時間: 2025-3-24 01:20

作者: Grievance    時間: 2025-3-24 05:00

作者: HARD    時間: 2025-3-24 10:26

作者: cyanosis    時間: 2025-3-24 13:14

作者: 秘方藥    時間: 2025-3-24 16:21

作者: Nausea    時間: 2025-3-24 21:01
Human-Guided Transfer Learning for Autonomous Robot sometimes unavoidable. While the long learning time can be tolerated for many problems, it is crucial for autonomous robots learning in physical environments. One way to alleviate this problem is through transfer learning, which applies knowledge from one domain to another. In this study, we propos
作者: Aqueous-Humor    時間: 2025-3-25 01:42
Leveraging Two-Scale Features to?Enhance Fine-Grained Object Retrievalion for fine-grained object retrieval (FGOR). However, existing methods construct the embedding based solely on features extracted by the last layer of CNN, neglecting the potential benefits of leveraging features from other layers. Based on the fact that features extracted by different layers of CN
作者: GOAD    時間: 2025-3-25 05:30
Predefined-Time Synchronization of?Complex Networks with?Disturbances by?Using Sliding Mode Controly. Firstly, a new predefined-time stability lemma is proposed based on the Lyapunov second method. By adjusting parameters, this new lemma can degenerate into previous ones and is, therefore, more general. Based on the proposed stability lemma and sliding mode technology, a new sliding mode surface
作者: BRACE    時間: 2025-3-25 07:36
Reward-Dependent and?Locally Modulated Hebbian Rulecent (BPGD) algorithm has been used to train the network. However, the plasticity of the synapse between neurons often depends on the potential of the pre- and postsysnaptic membrane and the local concentration of neuromodulators such as dopamine. In this paper, we proposed the reward-dependent and
作者: indifferent    時間: 2025-3-25 11:52
vironmental sciences as well as policy makers involved in na.“.Soil Health and Climate Change.” presents a comprehensive overview of the concept of soil health, including the significance of key soil attributes and management of soil health in conventional and emerging land use systems in the contex
作者: Gleason-score    時間: 2025-3-25 19:23
vironmental sciences as well as policy makers involved in na.“.Soil Health and Climate Change.” presents a comprehensive overview of the concept of soil health, including the significance of key soil attributes and management of soil health in conventional and emerging land use systems in the contex
作者: 就職    時間: 2025-3-25 23:16

作者: TIA742    時間: 2025-3-26 00:59

作者: Bronchial-Tubes    時間: 2025-3-26 05:08

作者: Thyroxine    時間: 2025-3-26 10:38
Chunming Yang,Xinghao Song,Yue Luo,Litao Zhangsessing soil dynamics and health in these different land types. Through perspectives of agriculture, soil management, and ecological sustainability, the book provides accurate and up-to-date information on soil health assessment and maintenance that is often missing from current literature on conser
作者: BAIT    時間: 2025-3-26 13:54
Naiwen Chang,Ying Huai,Hui Litance of soil health in croplands, rangelands, pasturelands,This book explores the importance of soil health in croplands, rangelands, pasturelands, and gardens, and presents new methods and technologies for assessing soil dynamics and health in these different land types. Through perspectives of ag
作者: 天賦    時間: 2025-3-26 19:35

作者: Chameleon    時間: 2025-3-26 22:57
Tao Xiang,Liang Tian,Peng Li,Jie Liu,Mao Yeic organisms, simultaneously possess a threat of human life. Taking these considerations, a valid effort is made to deal with different aspects of soil and water pollution by heavy metals which directly or indirectly affect the survival of human beings in natural habitat. Here we are mainly focused
作者: 間接    時間: 2025-3-27 03:07

作者: 無脊椎    時間: 2025-3-27 06:50

作者: 不持續(xù)就爆    時間: 2025-3-27 12:38

作者: 使饑餓    時間: 2025-3-27 14:04

作者: 系列    時間: 2025-3-27 18:05

作者: 燦爛    時間: 2025-3-28 01:10
CLF-AIAD: A Contrastive Learning Framework for?Acoustic Industrial Anomaly Detectionnt characteristics, improving the discriminative capabilities of the model. Finally, a transformation classifier is introduced to bolster the performance of the primary task under a self-supervised learning framework. Extensive experiments on two typical industrial datasets, MIMII and ToyADMOS, demo
作者: Hypopnea    時間: 2025-3-28 02:25

作者: Aromatic    時間: 2025-3-28 06:37

作者: Antarctic    時間: 2025-3-28 12:25

作者: 痛得哭了    時間: 2025-3-28 17:14
Lead ASR Models to?Generalize Better Using Approximated Bias-Variance Tradeoff ASR models, our recipe provides 2.5%–3.7% and 3.1%–4.6% CER reduction on the AISHELL-1 and AISHELL-2, respectively (The code and sampled unaugmented training sets used in this paper will be public available on GitHub).
作者: Fraudulent    時間: 2025-3-28 20:43
Leveraging Two-Scale Features to?Enhance Fine-Grained Object Retrievalconstruct an embedding based on features from these two layers respectively. When testing, we concatenate these two embeddings to get a more discriminative embedding for retrieval. Additionally, we design a Feature Enhancement Module (FEM) that consists of several common operations, such as layer no
作者: Unsaturated-Fat    時間: 2025-3-28 23:23
opportunities and potential risks of organic farming, biochar and bioenergy systems, and their ability to sustain and even enhance soil health, arediscussed..978-3-642-27104-5978-3-642-20256-8Series ISSN 1613-3382 Series E-ISSN 2196-4831
作者: 連系    時間: 2025-3-29 04:39
opportunities and potential risks of organic farming, biochar and bioenergy systems, and their ability to sustain and even enhance soil health, arediscussed..978-3-642-27104-5978-3-642-20256-8Series ISSN 1613-3382 Series E-ISSN 2196-4831
作者: 倒轉(zhuǎn)    時間: 2025-3-29 08:08

作者: FIN    時間: 2025-3-29 14:46
Kaishen Wang,Jingqing Ruan,Qingyang Zhang,Dengpeng Xing
作者: Fulsome    時間: 2025-3-29 18:56

作者: 溺愛    時間: 2025-3-29 21:35
Zhaoyi Liu,Yuanbo Hou,Haoyu Tang,álvaro López-Chilet,Sam Michiels,Dick Botteldooren,Jon Ander Gómez,
作者: indubitable    時間: 2025-3-30 00:55

作者: Blazon    時間: 2025-3-30 04:50

作者: paradigm    時間: 2025-3-30 08:37

作者: 考博    時間: 2025-3-30 14:06

作者: 值得    時間: 2025-3-30 20:24
Efficient Hierarchical Reinforcement Learning via?Mutual Information Constrained Subgoal Discoveryoviding more effective guidance to the low-level policy. The empirical results on continuous control tasks demonstrate that our proposed method significantly enhances the training efficiency, regardless of the dimensions of the state and action spaces, while ensuring comparable performance to state-of-the-art methods.
作者: Arresting    時間: 2025-3-30 23:36
Predefined-Time Synchronization of?Complex Networks with?Disturbances by?Using Sliding Mode Controlbust against disturbances, which aligns more with practical application requirements. (2) The predefined time is set as the sliding mode controller parameter, avoiding overestimation of synchronization time. Finally, numerical simulations are presented to demonstrate the effectiveness of the proposed approach.
作者: accomplishment    時間: 2025-3-31 02:46

作者: ANTIC    時間: 2025-3-31 06:39

作者: 赤字    時間: 2025-3-31 10:50

作者: 織布機    時間: 2025-3-31 16:55

作者: 惡名聲    時間: 2025-3-31 20:46

作者: 撫慰    時間: 2025-4-1 01:03
Conference proceedings 2024CONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements..
作者: 猛擊    時間: 2025-4-1 04:26
1865-0929 ns.?.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements..978-981-99-8125-0978-981-99-8126-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: 狼群    時間: 2025-4-1 08:36

作者: limber    時間: 2025-4-1 12:53

作者: antiquated    時間: 2025-4-1 14:33





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