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NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation
[article]
2021
arXiv
pre-print
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We show that NEU can learn any feature map with these two properties if that feature map is asymptotically deformable into the identity. ...
This paper introduces a meta-procedure, called Non-Euclidean Upgrading (NEU), which learns feature maps that are expressive enough to embed the universal approximation property (UAP) into most model classes ...
The authors thank Alina Stancu (Concordia University) for helpful discussions, Josef Teichmann and the entire working group at ETH for their helpful feedback, and Behnoosh Zamanlooy for the Python guidance ...
arXiv:1809.00082v4
fatcat:5ue5d7svp5dyhedo7er65ou7cm
An Artificial Neural Network Model to Forecast Exchange Rates
2011
Journal of Intelligent Learning Systems and Applications
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For the purposes of this research, the optimal MLP neural network topology has been designed and tested by means the specific genetic algorithm multi-objective Pareto-Based. ...
The objective of the research is to predict the trend of the exchange rate Euro/USD up to three days ahead of last data available. ...
Acknowledgements The authors acknowledge to the anonymous referees for their thoughtful and constructive suggestions and Maria Rosaria Di Muro for the valuable support. ...
doi:10.4236/jilsa.2011.32008
fatcat:rvc5qhoe2red5pfvsir2veaueq
Smoothing Policies and Safe Policy Gradients
[article]
2022
arXiv
pre-print
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Policy Gradient (PG) algorithms are among the best candidates for the much-anticipated applications of reinforcement learning to real-world control tasks, such as robotics. ...
Through a joint, adaptive selection of these meta-parameters, we obtain a policy gradient algorithm with monotonic improvement guarantees. ...
The authors would like to thank Gergely Neu for his suggestions on how to improve the Safe Policy Gradient algorithm and its theoretical analysis. ...
arXiv:1905.03231v2
fatcat:42eel7ra2rb2bft4nlid7nl26y
Algorithms for Reinforcement Learning
2010
Synthesis Lectures on Artificial Intelligence and Machine Learning
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The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. ...
Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research ...
(Shapiro, 2003) such as PEGASUS (Ng and Jordan, 2000) , online learning in MDPs with arbitrary reward processes (Even-Dar et al., 2005; Neu et al., 2010) , or learning with (almost) no restrictions ...
doi:10.2200/s00268ed1v01y201005aim009
fatcat:bdkpvafw4net5npq5tbtq7jeci
Introduction to Online Convex Optimization
[article]
2021
arXiv
pre-print
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In many practical applications the environment is so complex that it is infeasible to lay out a comprehensive theoretical model and use classical algorithmic theory and mathematical optimization. ...
It is necessary as well as beneficial to take a robust approach, by applying an optimization method that learns as one goes along, learning from experience as more aspects of the problem are observed. ...
I am very thankful to Wouter Koolen-Wijkstra for a helpful suggestion in the analysis of the Online Newton Step algorithm. ...
arXiv:1909.05207v2
fatcat:2fvtye3uo5dajjy4hfdwk33lbq
Entity Retrieval and Text Mining for Online Reputation Monitoring
[article]
2018
arXiv
pre-print
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Therefore, we address the problem of Entity-Relationship (E-R) retrieval in which the goal is to search for multiple connected entities. ...
We argue that this format is too restrictive as end users often like to have the flexibility to search for entity-centric information that is not available in predefined charts. ...
The framework is adaptable and can be reused in different application scenarios, such as finance and politics. ...
arXiv:1801.07743v1
fatcat:f56lljaavnd6zm4vnngs2m3tga
Digital Transformation in Learning Organizations
[chapter]
2021
Digital Transformation of Learning Organizations
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Which design perspectives can be used for digital transformation in learning organizations? ...
have in learning organizations. ...
We thank all those who participated in the project, as well as the colleagues from the three regional SFIVET sites who contributed with their reflections, critics and comments to develop and define the ...
doi:10.1007/978-3-030-55878-9_14
fatcat:l36faznntjexxoadcstygtf6eu
Poster Presentations at the 8th Canadian Conference on Dementia (CCD), Ottawa, October 2015
2015
Canadian Geriatrics Journal
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Capacity building for global health issues related to dementia is necessary to bridge the generation gap in the search for global dementia solutions. ...
We need to harness the momentum for change and impact found in the energy and innovation from younger generations. Objectives: 1. ...
Results: In our randomized verification tests, manifold learning algorithms clearly improve the performance of the automatic diagnosis task. ...
doi:10.5770/cgj.18.218
fatcat:nvcz53y57rcqbgs33vwxhnn4r4
Abstracts of Working Papers in Economics
1992
Abstracts of Working Papers in Economics
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We apply a non-linear nearest neighbor algorithm to identify stochastic and deterministic patterns in the daily returns. ...
Finally, we plead for a different analogy between politics and economics, one that fccusses on organizations, and note that this line of thought is consistent with other main trends in public choice. ...
Learning is assumed to be endogenous to the diffusion process -firms learn only from the experience of other firms that have adopted in the past. ...
doi:10.1017/s0951007900002977
fatcat:ng24loz5ubcmja75vxy6nsmoja
ISSUES OF INTEGRATION INTO THE GREEN ECONOMY IN THE REPUBLIC OF AZERBAIJAN
2021
Proceeding of The International Research Education & Training Centre
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Given the demand for energy and energy resources in modern times, we can see how important a sustainable energy policy is. Keywords: green economy, sustainable development, green policy. ...
In recent years, the developed countries of the world are building their policies to ensure more sustainable development. ...
application in the economic sphere will create conditions for sustainable economic
development.
4. ...
doi:10.36962/piretc1707202116
fatcat:zkinuythufdbdilfqsmlyq5vqm
In Silico Studies Targeting G-protein Coupled Receptors for Drug Research Against Parkinson's Disease
2018
Current Neuropharmacology
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The investigation for non-dopaminergic therapies has been largely explored as an attempt to counteract the motor side effects associated with dopamine replacement therapy. ...
receptors, on the pathophysiology of PD and the importance of structure-and ligand-based in silico approaches for the development of small molecules to target these receptors. ...
and meta positions of the phenyl ring. ...
doi:10.2174/1570159x16666180308161642
pmid:29521236
pmcid:PMC6080095
fatcat:ofgpbzklozdixjri7javhbekhq
Ultra-High-Energy Cosmic Rays: The Intersection of the Cosmic and Energy Frontiers
[article]
2022
arXiv
pre-print
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The present white paper is submitted as part of the "Snowmass" process to help inform the long-term plans of the United States Department of Energy and the National Science Foundation for high-energy physics ...
It summarizes the science questions driving the Ultra-High-Energy Cosmic-Ray (UHECR) community and provides recommendations on the strategy to answer them in the next two decades. ...
to the original Snowmass call for submissions. ...
arXiv:2205.05845v3
fatcat:ixjqj3ck5rb2pibjxm53zgf664
Abstracts of Working Papers in Economics
2001
Abstracts of Working Papers in Economics
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Thus, entry by a marker maker results in uniformly higher surpluses for buyers and sellers and higher AB We examine an economy where human capital is the cause of growth. ...
Olivella, Pau AB We analyze an industry where a dominant buyer may foreclose its rivals (with whom it competes a la Cournot in the final good market) from access to an efficient supplier of an intermediate ...
But, in the last two decades the extent of private finance has increased in most of these countries, and private finance now accounts for around a quarter of all health care finance. ...
doi:10.1017/s0951007900005441
fatcat:t6dkdz4vfzcdhekrmsa2yjmjfm
From PDF to structured references: A comparative study on tools for bibliographic references extraction and parsing
2022
Zenodo
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However, in some of the subtasks investigated alongside the overall results, other tools resulted to have a better performance in specific tasks. ...
Thus, in this variegated scenario, different solutions can be adopted on the basis on the user's requirements. ...
For what concerns the language ease of usage, the choice was almost easy with the XML (eXtensible Markup Language) meta-language. ...
doi:10.5281/zenodo.6616296
fatcat:7z3kr36khfec7lbmfg4rwuam3m
Final Program, Thirty-Eighth Annual Meeting International Neuropsychological Society
2010
Journal of the International Neuropsychological Society
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Test-retest stability was high for the Response Speed factor (.95), and moderate for Learning and Memory (.67) and Variability factors (.72). ...
Results: A three factor structure-Response Speed, Learning and Memory, and Variability (ICV) -accounted for 48.4% of the total variance. Factors had moderate covariance with each other (.43 to .70). ...
Objective: Develop a measure of memory and learning for the NIH Toolbox that is applicable across the age span of 3 to 85, easy to use, and in the public domain. ...
doi:10.1017/s1355617710000226
fatcat:cvsuvca32nhnbf3f66rmxq7eiq
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