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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是4971-4980 订阅
排序:
Verified Correctness, Accuracy, and Convergence of a Stationary Iterative Linear Solver: Jacobi Method  16th
Verified Correctness, Accuracy, and Convergence of a Station...
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16th International Conference on Intelligent Computer Mathematics (CICM)
作者: Tekriwal, Mohit Appel, Andrew W. Kellison, Ariel E. Bindel, David Jeannin, Jean-Baptiste Univ Michigan Ann Arbor MI 48109 USA Princeton Univ Princeton NJ 08544 USA Cornell Univ Ithaca NY USA
Solving a sparse linear system of the form Ax = b is a common engineering task, e.g., as a step in approximating solutions of differential equations. Inverting a large matrix A is often too expensive, and instead engi...
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Explainable AI for Medical Event Prediction for Heart Failure Patients  21st
Explainable AI for Medical Event Prediction for Heart Failur...
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21st International Conference on artificial intelligence in Medicine (AIME)
作者: Wrazen, Weronika Gontarska, Kordian Grzelka, Felix Polze, Andreas Univ Potsdam Hasso Plattner Inst Potsdam Germany Tech Univ Berlin Berlin Germany
The past decade has witnessed significant progress in deploying AI in the medical field. However, most AI models are considered black-boxes, making predictions neither understandable nor interpretable by humans. This ...
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Optimized Custom Dataset for Efficient Detection of Underwater Trash  1
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24th Annual Conference on Towards Autonomous Robotic Systems (TAROS)
作者: Walia, Jaskaran Singh Seemakurthy, Karthik Vellore Inst Technol Chennai India Univ Lincoln Lincoln England
Accurately quantifying and removing submerged underwater waste plays a crucial role in safeguarding marine life and preserving the environment. While detecting floating and surface debris is relatively straightforward...
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Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching
Label Shift Quantification with Robustness Guarantees via Di...
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5th International Workshop on Learning with Imbalanced Domains - Theory and Applications / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
作者: Dussap, Bastien Blanchard, Gilles Cherief-Abdellatif, Badr-Eddine Univ Paris Saclay Lab Math Orsay CNRS Inria Orsay France Univ Paris Cite Sorbonne Univ LPSM CNRS Paris France
Quantification learning deals with the task of estimating the target label distribution under label shift. In this paper, we first present a unifying framework, distribution feature matching (DFM), that recovers as pa...
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Temporal Graph Based Incident Analysis System for Internet of Things
Temporal Graph Based Incident Analysis System for Internet o...
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
作者: Yuan, Peng Tang, Lu-An Chen, Haifeng Chang, David S. Sato, Moto Woodward, Kevin NEC Labs Amer Princeton NJ 08540 USA Lockheed Martin Space Denver CO USA
Internet-of-things (IoTs) deploymassive number of sensors to monitor the system and environment. Anomaly detection on sensor data is an important task for IoT maintenance and operation. In real applications, the occur...
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Interlingual Semantic Validation  15th
Interlingual Semantic Validation
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15th International Conference on Flexible Query Answering Systems (FQAS)
作者: Gallardo, Carolina Cardenosa, Jesus Baragano, Samantha Univ Politecn Madrid Madrid Spain Dail Software SL Madrid Spain
The validation of machine translation systems has depended on metrics that compare both form and content of the translated text, where direct human participation was almost indispensable. Within the paradigm of "...
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A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation  31st
A Case-Based Reasoning Approach to Company Sector Classifica...
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31st International Conference on Case-Based Reasoning Research and Development (ICCBR)
作者: Dolphin, Rian Smyth, Barry Dong, Ruihai Univ Coll Dublin Sch Comp Sci Dublin Ireland Univ Coll Dublin Insight Ctr Data Analyt Dublin Ireland
The financial domain has proven to be a fertile source of challenging machine learning problems across a variety of tasks including prediction, clustering, and classification. Researchers can access an abundance of ti...
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Weighted Multivariate Mean Reversion for Online Portfolio Selection
Weighted Multivariate Mean Reversion for Online Portfolio Se...
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
作者: Wu, Boqian Lyu, Benmeng Gu, Jiawen Univ Twente Enschede Netherlands Southern Univ Sci & Technol Shenzhen Peoples R China Univ Hong Kong Hong Kong Peoples R China
Portfolio selection is a fundamental task in finance and it is to seek the best allocation of wealth among a basket of assets. Nowadays, Online portfolio selection has received increasing attention from both AI and ma...
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Terminology-Enriched Meta-curriculum Learning for Domain Neural Machine Translation  1
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19th International Conference on Advanced Intelligent Computing Technology and Applications (ICIC)
作者: Chen, Zheng Wang, Yifan Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu Peoples R China
As a data-driven approach, neural machine translation (NMT) heavily depends on large parallel corpora. Nevertheless, such corpora are frequently unavailable in domains of user interest, consequently diminishing the pe...
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Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies  21st
Learning EKG Diagnostic Models with Hierarchical Class Label...
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21st International Conference on artificial intelligence in Medicine (AIME)
作者: Wang, Junheng Hauskrecht, Milos Univ Pittsburgh Dept Comp Sci Pittsburgh PA 15260 USA
Electrocardiogram (EKG/ECG) is a key diagnostic tool to assess patient's cardiac condition and is widely used in clinical applications such as patient monitoring, surgery support, and heart medicine research. With...
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