咨询与建议

限定检索结果

文献类型

  • 208 篇 期刊文献
  • 87 篇 会议
  • 3 册 图书

馆藏范围

  • 298 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 194 篇 工学
    • 119 篇 计算机科学与技术...
    • 97 篇 软件工程
    • 42 篇 生物医学工程(可授...
    • 42 篇 生物工程
    • 32 篇 光学工程
    • 28 篇 信息与通信工程
    • 24 篇 电气工程
    • 20 篇 控制科学与工程
    • 17 篇 电子科学与技术(可...
    • 8 篇 化学工程与技术
    • 7 篇 机械工程
    • 7 篇 仪器科学与技术
    • 7 篇 建筑学
    • 7 篇 土木工程
    • 7 篇 安全科学与工程
  • 135 篇 理学
    • 60 篇 数学
    • 48 篇 生物学
    • 44 篇 物理学
    • 35 篇 统计学(可授理学、...
    • 15 篇 地球物理学
    • 12 篇 系统科学
  • 51 篇 管理学
    • 29 篇 管理科学与工程(可...
    • 19 篇 工商管理
    • 19 篇 图书情报与档案管...
  • 42 篇 医学
    • 37 篇 临床医学
    • 30 篇 基础医学(可授医学...
    • 18 篇 药学(可授医学、理...
    • 13 篇 公共卫生与预防医...
  • 9 篇 经济学
    • 9 篇 应用经济学
  • 7 篇 农学
  • 6 篇 法学
    • 6 篇 社会学
  • 3 篇 教育学

主题

  • 11 篇 machine learning
  • 10 篇 deep learning
  • 9 篇 image segmentati...
  • 8 篇 predictive model...
  • 7 篇 feature extracti...
  • 7 篇 accuracy
  • 6 篇 training
  • 5 篇 galaxies
  • 5 篇 neural networks
  • 5 篇 cosmology
  • 5 篇 artificial intel...
  • 5 篇 tumors
  • 4 篇 object detection
  • 4 篇 task analysis
  • 4 篇 graph neural net...
  • 4 篇 computational mo...
  • 4 篇 diseases
  • 3 篇 learning systems
  • 3 篇 reinforcement le...
  • 3 篇 semantic segment...

机构

  • 35 篇 center for data ...
  • 34 篇 center for machi...
  • 12 篇 beijing internat...
  • 11 篇 center for compu...
  • 9 篇 national enginee...
  • 9 篇 national biomedi...
  • 9 篇 ciela - montreal...
  • 8 篇 peking universit...
  • 8 篇 university of pe...
  • 7 篇 department of ra...
  • 7 篇 machine learning...
  • 7 篇 department of ph...
  • 7 篇 peking universit...
  • 7 篇 heidelberg
  • 6 篇 lab crestview ra...
  • 6 篇 helmholtz imagin...
  • 6 篇 translatum - cen...
  • 6 篇 school of mathem...
  • 6 篇 department of pa...
  • 6 篇 faculty of mathe...

作者

  • 11 篇 hezaveh yashar
  • 11 篇 wang liwei
  • 10 篇 li zhang
  • 10 篇 perreault-levass...
  • 10 篇 bin dong
  • 9 篇 bakas spyridon
  • 8 篇 li hongwei bran
  • 8 篇 kofler florian
  • 8 篇 ulrich constanti...
  • 8 篇 zifan chen
  • 7 篇 jie zhao
  • 7 篇 ezhov ivan
  • 7 篇 linguraru marius...
  • 7 篇 menze bjoern
  • 6 篇 hüllermeier eyke
  • 6 篇 wang chunhao
  • 6 篇 kazerooni anahit...
  • 6 篇 chung verena
  • 6 篇 dong bin
  • 6 篇 moawad ahmed w.

语言

  • 271 篇 英文
  • 25 篇 其他
  • 1 篇 中文
检索条件"机构=Research Center of Machine Learning and Data Analysis"
298 条 记 录,以下是1-10 订阅
排序:
Method for Finding an Investment Strategy in the Case of a Sparse Covariance Matrix  17
Method for Finding an Investment Strategy in the Case of a S...
收藏 引用
17th International Conference on Management of Large-Scale System Development, MLSD 2024
作者: Gorelik, Victor Zolotova, Tatiana Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Simulation Systems and Operations Research Moscow Russia Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia
An optimality principle is proposed for making investment decisions based on efficiency and risk assessments with a sparse covariance matrix. The method is implemented as a program with a graphical interface and demon... 详细信息
来源: 评论
Intelligent Assistant for Multivariant analysis  26
Intelligent Assistant for Multivariant Analysis
收藏 引用
26th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2024
作者: Angerri, Xavier Delgado, Oscar Gibert, Karina Knowledge Engineering and Machine Learning Group Intelligent Data Science and Artificial Intelligence Research Center Universtitat Politècnica de Catalunya Spain
When a Knowledge Discovery from data (KDD) (Fayyad, Piatetsky-Shapiro, & Smyth, 1996) process is being applied to get knowledge, several methods could be used (Gibert, et al., 2018). A simple and fast way to obtai... 详细信息
来源: 评论
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
ProbSAINT: Probabilistic Tabular Regression for Used Car Pri...
收藏 引用
2024 IEEE International Conference on Big data, Bigdata 2024
作者: Madhusudhanan, Kiran Behrens, Gunnar Stubbemann, Maximilian Schmidt-Thieme, Lars University Of Hildesheim Information Systems and Machine Learning Lab Vwfs Data Analytics Research Center Germany Volkswagen Financial Services Ag Data Analytics & Ai Engineering United States
Used car pricing is a critical aspect of the automotive industry, influenced by many economic factors and market dynamics. With the recent surge in online marketplaces and increased demand for used cars, accurate pric... 详细信息
来源: 评论
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation  36
Pitfalls of Epistemic Uncertainty Quantification through Los...
收藏 引用
36th Conference on Neural Information Processing Systems, NeurIPS 2022
作者: Bengs, Viktor Hüllermeier, Eyke Waegeman, Willem Germany Munich Center for Machine Learning Germany Department of Data Analysis and Mathematical Modeling Ghent University Belgium
Uncertainty quantification has received increasing attention in machine learning in the recent past. In particular, a distinction between aleatoric and epistemic uncertainty has been found useful in this regard. The l... 详细信息
来源: 评论
Towards Highly Efficient Anomaly Detection for Predictive Maintenance  23
Towards Highly Efficient Anomaly Detection for Predictive Ma...
收藏 引用
23rd IEEE International Conference on machine learning and Applications, ICMLA 2024
作者: Klüttermann, Simon Peka, Vanlal Doebler, Philipp Müller, Emmanuel Tu Dortmund University Dortmund Germany Lamarr Institute for Machine Learning and Artificial Intelligence Dortmund Germany Research Center Trustworthy Data Science and Security Dortmund Germany
This paper introduces SEAN, a novel anomaly detection algorithm designed for real-time applications in predictive maintenance. SEAN leverages an ensemble-based approach to deliver competitive performance while drastic... 详细信息
来源: 评论
Investor Risk Profile Determination Model  16
Investor Risk Profile Determination Model
收藏 引用
16th International Conference Management of Large-Scale System Development, MLSD 2023
作者: Gorelik, Victor Zolotova, Tatiana Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Simulation Systems and Operations Research Moscow Russia Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia
An assessment of the investor's risk profile is proposed as a risk coefficient in a model with a linear convolution of expected return and variance. The value of the risk coefficient is found from solving the opti... 详细信息
来源: 评论
An Improved Finite-time analysis of Temporal Difference learning with Deep Neural Networks  41
An Improved Finite-time Analysis of Temporal Difference Lear...
收藏 引用
41st International Conference on machine learning, ICML 2024
作者: Ke, Zhifa Wen, Zaiwen Zhang, Junyu Center for Data Science Peking University China Beijing International Center for Mathematical Research Center for Machine Learning Research Changsha Institute for Computing and Digital Economy Beijing China Department of Industrial Systems Engineering and Management National University of Singapore Singapore
Temporal difference (TD) learning algorithms with neural network function parameterization have well-established empirical success in many practical large-scale reinforcement learning tasks. However, theoretical under... 详细信息
来源: 评论
On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification  23
On the Effectiveness of Heterogeneous Ensemble Methods for R...
收藏 引用
23rd IEEE International Conference on machine learning and Applications, ICMLA 2024
作者: Klüttermann, Simon Rutinowski, Jérôme Polachowski, Frederik Nguyen, Anh Grimme, Britta Roidl, Moritz Müller, Emmanuel Paderborn University Paderborn Germany Tu Dortmund University Dortmund Germany Lamarr Institute for Machine Learning and Artificial Intelligence Dortmund Germany Research Center Trustworthy Data Science and Security Dortmund Germany
In this contribution, we introduce a novel ensemble method for the re-identification of industrial entities, using images of chipwood pallets and galvanized metal plates as dataset examples. Our algorithms replace com... 详细信息
来源: 评论
Improving Generalization and Convergence by Enhancing Implicit Regularization  38
Improving Generalization and Convergence by Enhancing Implic...
收藏 引用
38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Wang, Mingze Wang, Jinbo He, Haotian Wang, Zilin Huang, Guanhua Xiong, Feiyu Li, Zhiyu Weinan, E. Wu, Lei School of Mathematical Sciences Peking University China Center for Machine Learning Research Peking University China China AI for Science Institute China School of Data Science University of Science and Technology of China China ByteDance Research China
In this work, we propose an Implicit Regularization Enhancement (IRE) framework to accelerate the discovery of flat solutions in deep learning, thereby improving generalization and convergence. Specifically, IRE decou...
来源: 评论
Expected Probabilistic Hierarchies  38
Expected Probabilistic Hierarchies
收藏 引用
38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Kollovieh, Marcel Charpentier, Bertrand Zügner, Daniel Günnemann, Stephan School of Computation Information and Technology Technical University of Munich Germany Munich Data Science Institute Germany Munich Center for Machine Learning Germany Pruna AI Germany Microsoft Research AI for Science United States
Hierarchical clustering has usually been addressed by discrete optimization using heuristics or continuous optimization of relaxed scores for hierarchies. In this work, we propose to optimize expected scores under a p...
来源: 评论