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检索条件"机构=Department of Data Science and Machine Learning Computer Science"
3631 条 记 录,以下是181-190 订阅
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A Byzantine-Fault-Tolerant Federated learning Method Using Tree-Decentralized Network and Knowledge Distillation for Internet of Vehicles  100
A Byzantine-Fault-Tolerant Federated Learning Method Using T...
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100th IEEE Vehicular Technology Conference, VTC 2024-Fall
作者: Chen, Jinhua Zhao, Zihan Messou, Franck Junior Aboya Katabarwa, Robert Alfarraj, Osama Yu, Keping Guizani, Mohsen Hosei University Graduate School of Science and Engineering Tokyo184-8584 Japan King Saud University Community College Computer Science Department Riyadh Saudi Arabia Machine Learning Department United Arab Emirates
Autonomous driving technology achieves self-driving capability through extensive training on user driving data. As data regulations tighten, Federated learning(FL) helps self-driving in the Internet of Vehicles (IoV) ... 详细信息
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Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?  39
Is the Volume of a Credal Set a Good Measure for Epistemic U...
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39th Conference on Uncertainty in Artificial Intelligence, UAI 2023
作者: Caprio, Michele Hüllermeier, Eyke Sale, Yusuf Germany PRECISE Center Department of Computer and Information Science University of Pennsylvania United States Munich Center for Machine Learning Germany
Adequate uncertainty representation and quantification have become imperative in various scientific disciplines, especially in machine learning and artificial intelligence. As an alternative to representing uncertaint... 详细信息
来源: 评论
Question Answering FAQ Bot Using Natural Language Processing  11th
Question Answering FAQ Bot Using Natural Language Processing
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11th International Conference on Intelligent Computing and Applications, ICRTC 2023
作者: Vijay, K. Sowmia, K.R. Ravikumar, S. Arockia Raj, Y. Department of Computer Science and Engineering Rajalakshmi Engineering College Chennai India Department of Artificial Intelligence and Machine Learning Rajalakshmi Engineering College Chennai India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Computer Science and Engineering PSNA College of Engineering and Technology Dindigul India
The BOT retorts with the precise results that help the user for the query and also requests them to rate the response to provide better results. The [frequently answered questions] BOT is a program developed through m... 详细信息
来源: 评论
Hybrid Deep learning Cloud Intrusion Detection  3
Hybrid Deep Learning Cloud Intrusion Detection
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3rd IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024
作者: Karnan, Lokanayaki Mahalakshmi, S.B. Thirunavukkarasu, V. Christ University Department of Computer Science Karnataka Bangalore560029 India Coimbatore Institute of Technology Department of Artificial Intelligence & Machine Learning Tamil Nadu Coimbatore641014 India
The scalability and flexibility that cloud computing provides, organisations can readily adapt their resources to meet demand without having to make significant upfront expenditures in hardware infrastructure. Three m... 详细信息
来源: 评论
SNIP: BRIDGING MATHEMATICAL SYMBOLIC AND NUMERIC REALMS WITH UNIFIED PRE-TRAINING  12
SNIP: BRIDGING MATHEMATICAL SYMBOLIC AND NUMERIC REALMS WITH...
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12th International Conference on learning Representations, ICLR 2024
作者: Meidani, Kazem Shojaee, Parshin Reddy, Chandan K. Farimani, Amir Barati Department of Mechanical Engineering Carnegie Mellon University United States Department of Computer Science Virginia Tech United States Machine Learning Department Carnegie Mellon University United States
In an era where symbolic mathematical equations are indispensable for modeling complex natural phenomena, scientific inquiry often involves collecting observations and translating them into mathematical expressions. R... 详细信息
来源: 评论
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers  38
Hydra: Bidirectional State Space Models Through Generalized ...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Hwang, Sukjun Lahoti, Aakash Puduppully, Ratish Dao, Tri Gu, Albert Machine Learning Department Carnegie Mellon University United States IT University of Copenhagen Denmark Department of Computer Science Princeton University United States Cartesia AI United States
A wide array of sequence models are built on a framework modeled after Transformers, comprising alternating sequence mixer and channel mixer layers. This paper studies a unifying matrix mixer view of sequence mixers t...
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Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers  38
Do LLMs dream of elephants (when told not to)? Latent concep...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Jiang, Yibo Rajendran, Goutham Ravikumar, Pradeep Aragam, Bryon Department of Computer Science University of Chicago United States Machine Learning Department Carnegie Mellon University United States Booth School of Business University of Chicago United States
Large Language Models (LLMs) have the capacity to store and recall facts. Through experimentation with open-source models, we observe that this ability to retrieve facts can be easily manipulated by changing contexts,...
来源: 评论
IoT-Deep learning Based Activity Recommendation System
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computer Systems science & Engineering 2023年 第5期45卷 2001-2016页
作者: Sharmilee Kannan R.U.Anitha M.Divayapushpalakshmi K.S.Kalaivani Department of Electronics and Communication Engineering Nandha Engineering CollegePerundurai638052TamilnaduIndia Department of Computer Science Sona College of Arts and ScienceSalem636005TamilnaduIndia Department of Artificial Intelligence and Machine Learning Engineering Gokaraju Rangaraju Institute of Engineering and TechnologyHyderabad500090TelanganaIndia Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060TamilnaduIndia
The rising use of mobile technology and smart gadgets in the field of health has had a significant impact on the global *** professionals are increasingly making use of the benefits of these technologies,resulting in ... 详细信息
来源: 评论
Meta-Analysis with Untrusted data  4
Meta-Analysis with Untrusted Data
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4th machine learning for Health Symposium, ML4H 2024
作者: Kaul, Shiva Gordon, Geoffrey J. Computer Science Department Carnegie Mellon University PittsburghPA15213 United States Machine Learning Department Carnegie Mellon University PittsburghPA15213 United States
Meta-analyses are usually conducted on small amounts of "trusted" data, ideally from randomized, controlled trials. Excluding untrusted (observational) data - such as medical records and related scientific l... 详细信息
来源: 评论
Leveraging Patient Flow data to Reduce Hospital Readmissions: A Study Using Medical Dashboards  4
Leveraging Patient Flow Data to Reduce Hospital Readmissions...
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4th International Conference on Sentiment Analysis and Deep learning, ICSADL 2025
作者: Deshmukh, Santoshi Pacharaney, Utkarsha Datta Meghe Institute of Higher Education and Research Department of Artificial Intelligence and Data Science Wardha India Datta Meghe Institute of Higher Education and Research Department of Artificial Intelligence and Machine Learning Wardha India
Transparent reporting of patient outcomes is becoming more and more common as the inequalities in health outcomes amongst groups are being more widely acknowledged. In addition, documenting health outcomes over time a... 详细信息
来源: 评论