Filters








10,805 Hits in 5.3 sec

From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey [article]

Giuseppe Marra and Sebastijan Dumančić and Robin Manhaeve and Luc De Raedt
2022 arXiv   pre-print
Neural-symbolic and statistical relational artificial intelligence both integrate frameworks for learning with logical reasoning.  ...  These cannot only be used to characterize and position neural-symbolic artificial intelligence approaches but also to identify a number of directions for further research.  ...  Another domain that has a rich tradition in integrating learning and reasoning is that of statistical relational learning and artificial intelligence (StarAI) [41, 89] .  ... 
arXiv:2108.11451v2 fatcat:2vynob3s7bhsjk22pwv5e5hnta

Artificial Musical Intelligence: A Survey [article]

Elad Liebman, Peter Stone
2020 arXiv   pre-print
This article provides a definition of musical intelligence, introduces a taxonomy of its constituent components, and surveys the wide range of AI methods that can be, and have been, brought to bear in  ...  While still nascent, several different approaches have been employed to tackle what may broadly be referred to as "musical intelligence."  ...  The automation of these tasks is often more closely related to signal processing than to artificial intelligence, but nonetheless it often involves a large component of machine intelligence, such as analyzing  ... 
arXiv:2006.10553v1 fatcat:2j6i27wrsfawpgcr2unxdgngd4

Transfer learning using computational intelligence: A survey

Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang
2015 Knowledge-Based Systems  
This paper systematically examines computational intelligence-based transfer learning techniques and clusters related technique developments into four main categories: a) neural network-based transfer  ...  By providing state-of-the-art knowledge, this survey will directly support researchers and practice-based professionals to understand the developments in computational intelligence-based transfer learning  ...  [66] combined three artificial intelligence techniques, case-based reasoning, heuristically accelerated reinforcement learning and neural networks, in a transfer learning problem.  ... 
doi:10.1016/j.knosys.2015.01.010 fatcat:vu2ttscic5fq3nm2tkdid4fs64

Intelligent Radio Signal Processing: A Survey [article]

Quoc-Viet Pham and Nhan Thanh Nguyen and Thien Huynh-The and Long Bao Le and Kyungchun Lee and Won-Joo Hwang
2021 arXiv   pre-print
Owing to recent advancements in big data and computing technologies, artificial intelligence (AI) has become a useful tool for radio signal processing and has enabled the realization of intelligent radio  ...  We expect this survey to be a good source of information for anyone interested in intelligent radio signal processing, and the perspectives we provide therein will stimulate many more novel ideas and contributions  ...  The survey is concluded in Section VII. II. ARTIFICIAL INTELLIGENCE: BACKGROUND INFORMATION In this section, we provide an overview of ML, DL, DRL, and FL. A.  ... 
arXiv:2008.08264v3 fatcat:4wmxyio6ejfvbfnqodq5z426m4

A Survey on Intelligent Agricultural Information Handling Methodologies

Yorghos Voutos, Phivos Mylonas, John Katheniotis, Anastasia Sofou
2019 Sustainability  
In this sense, the main goals of this paper may be summarized as follows: (a) To identify, group, and acknowledge the current state-of-the-art research knowledge about intelligent agriculture approaches  ...  , (b) to categorize them according to meaningful data sources categories, and (c) to describe current efficient data processing and utilization aspects from the perspective of the main trends in the field  ...  , ranging from traditional artificial intelligence algorithms to contextual semantics and other recently emerged innovative applications.  ... 
doi:10.3390/su11123278 fatcat:cds5zgj7h5h2zaaclxlr654a2a

Text-learning and related intelligent agents: a survey

D. Mladenic
1999 IEEE Intelligent Systems and their Applications  
This article surveys a part of text learning where supervised learning methods are used for text  ...  airline tickets, to how to cook a particular dish, to where to find the best hiking trails.  ...  Many thanks to the anonymous reviewers for valuable comments and suggestions.  ... 
doi:10.1109/5254.784084 fatcat:6u562ljgsregjohgj3jqeopaoq

A Survey on Computational Intelligence-based Transfer Learning [article]

Mohamad Zamini, Eunjin Kim
2022 arXiv   pre-print
The goal of transfer learning (TL) is providing a framework for exploiting acquired knowledge from source to target data.  ...  This paper studies computational intelligence-based transfer learning techniques and categorizes them into neural network-based, evolutionary algorithm-based, swarm intelligence-based and fuzzy logic-based  ...  It works based on a set of relational dependency trees created from the source data to build for the target data. The results outperform baseline models on benchmark datasets.  ... 
arXiv:2206.10593v1 fatcat:n4bofmrgs5eidciu6b3p3gcxey

Computational Intelligence in Music Composition: A Survey

Chien-Hung Liu, Chuan-Kang Ting
2017 IEEE Transactions on Emerging Topics in Computational Intelligence  
This paper attempts to provide a survey on the computational intelligence techniques used in music composition.  ...  Algorithmic composition aims to develop algorithms for music composition. Recently, algorithmic composition using artificial intelligence technologies received considerable attention.  ...  ACKNOWLEDGMENT The authors would like to thank the editor and reviewers for their valuable comments and suggestions, and Chung-Ying Huang, Chia-Lin Wu, and Chun-Hao Hsu for their comments on the manuscript  ... 
doi:10.1109/tetci.2016.2642200 dblp:journals/tetci/LiuT17 fatcat:z7mpeuqdjzfbxc3jvw4qispshq

A survey of Emerging Techniques in Detecting SMS Spam

Sahar Alqahtani, Daniyal Alghazzawi
2019 Transactions on Machine Learning and Artificial Intelligence  
Detecting SMS spam suffers from a lack of the availability of SMS dataset and a few numbers of features in SMS.  ...  Various features extracted and dataset used by the researchers with some related issues also discussed.  ...  Artificial Neural Network (ANN) [19]: They are techniques for statistical model of nonlinear data with a complex relation among outputs and inputs.  ... 
doi:10.14738/tmlai.75.7116 fatcat:4w2tsokoo5hthbui4spul4kxry

Intelligent Radio Signal Processing: A Survey

Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, Won-Joo Hwang
2021 IEEE Access  
Owing to recent advancements in big data and computing technologies, artificial intelligence (AI) has become a useful tool for radio signal processing and has enabled the realization of intelligent radio  ...  We expect this survey to be a good source of information for anyone interested in intelligent radio signal processing, and the perspectives we provide therein will stimulate many more novel ideas and contributions  ...  A tutorial on artificial neural networks (ANN) for wireless networking was presented [29] . Mao et al.  ... 
doi:10.1109/access.2021.3087136 fatcat:lovomskphvecbnxmvbm4dadssi

A Survey of Outlier Detection Methodologies

Victoria J. Hodge, Jim Austin
2004 Artificial Intelligence Review  
In this paper, we introduce a survey of contemporary techniques for outlier detection.  ...  Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data.  ...  Note There are statistical models for symbolic data (such as log-linear models) but these are not generally used for outlier analysis.  ... 
doi:10.1007/s10462-004-4304-y fatcat:eqtushcpkvfyhf2gixvl26sdzq

A Survey of Outlier Detection Methodologies

Victoria Hodge, Jim Austin
2004 Artificial Intelligence Review  
In this paper, we introduce a survey of contemporary techniques for outlier detection.  ...  Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data.  ...  Note There are statistical models for symbolic data (such as log-linear models) but these are not generally used for outlier analysis.  ... 
doi:10.1023/b:aire.0000045502.10941.a9 fatcat:ia2bp3745fdtnajnpoysafcsd4

A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI [article]

Erico Tjoa, Cuntai Guan
2020 arXiv   pre-print
Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially with the advent  ...  We provide a review on interpretabilities suggested by different research works and categorize them.  ...  The survey [30] shows how interpretability methods in general can be viewed under such symbolic and relational system. In the medical field, see for example [81] , [82] .  ... 
arXiv:1907.07374v5 fatcat:ssup2eanlvertbcztuovdakykq

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Javier Mata, Ignacio de Miguel, Ramón J. Durán, Noemí Merayo, Sandeep Kumar Singh, Admela Jukan, Mohit Chamania
2018 Optical Switching and Networkning Journal  
Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction  ...  The use of AI-based techniques is first studied in applications related to optical transmission, ranging from the characterization and operation of network components to performance monitoring, mitigation  ...  Summary This paper has provided a comprehensive survey of the current research within the application of Artificial Intelligence (AI) techniques in optical networks, as well as an overview of opportunities  ... 
doi:10.1016/j.osn.2017.12.006 fatcat:i443tt6fv5g2jmvfe7kn57unbq

AI Methods in Algorithmic Composition: A Comprehensive Survey

J.D. Fernandez, F. Vico
2013 The Journal of Artificial Intelligence Research  
This survey aims to be a comprehensive account of research on algorithmic composition, presenting a thorough view of the field for researchers in Artificial Intelligence.  ...  Since the 1950s, different computational techniques related to Artificial Intelligence have been used for algorithmic composition, including grammatical representations, probabilistic methods, neural networks  ...  This study was partially supported by a grant for the MELOMICS project (IPT-300000-2010-010) from the Spanish Ministerio de Ciencia e Innovación, and a grant for the CAUCE project (TSI-090302-2011-8) from  ... 
doi:10.1613/jair.3908 fatcat:lz7tckzdg5d2zkcwjnblwrojua
« Previous Showing results 1 — 15 out of 10,805 results