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检索条件"任意字段=14th International Conference on Algorithmic Learning Theory"

共 835 条记录，以下是131-140 订阅

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Forced elearning usage: Extending theory of planned behaviour with perceived cost during Covid 19 pandemic 14

Forced elearning usage: Extending theory of planned behaviou...

引用

14th IADIS international conference Information Systems 2021

作者： Sarosa, Samiaji Accounting Department Atma Jaya Yogyakarta University Jl. Babarsari 43 Yogyakarta55281 Indonesia

ISBN: (纸本)9789898704276

Indonesian schools and universities were forced to suddenly changed from conventional classroom to full online classroom in late March 2020 to combat the spread of COVID19. the change has not been easy for many, yet it was the situation faced by people all over the world. One of the common early complain of fully online learning is the cost to acquire equipment and internet access. We use the theory of Planned Behaviour extended with Perceived Cost to explore university student's behaviour in facing forced online learning. the result is similar to previous studies, but we found that Perceived Cost although influenced by Perceived Behavioural Control did not influence Intention. © 14th IADIS international Conf. Infor. Sys. 2021. All rights reserved.

关键词： E-learning

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Stochastic Principles of Optimality in Games with Nature and their Application in Investment Management 14

Stochastic Principles of Optimality in Games with Nature and...

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14th international conference Management of Large-Scale System Development, MLSD 2021

作者： Gorelik, Victor Zolotova, Tatiana Moscow Pedagogical State University Department of Simulation Systems and Operations Research FRC CSC RAS Moscow Russia Financial University Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia

ISBN: (纸本)9781665412308

the principle of optimality in decision-making for games with nature, based on assessments of efficiency and risk, is proposed. In contrast to the traditional approach to the definition of a mixed strategy in game theory, this work considers the possibility of a correlation dependence of random values of payoffs for the original alternatives. © 2021 IEEE.

关键词： Game theory

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Quantum Search-to-Decision Reduction for the LWE Problem 1

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14th international conference on the theory and Application of Cryptographic Techniques in Africa (AFRICACRYPT)

作者： Sudo, Kyohei Tezuka, Masayuki Hara, Keisuke Yoshida, Yusuke Osaka Univ Osaka Japan Tokyo Inst Technol Tokyo Japan Natl Inst Adv Ind Sci & Technol Tokyo Japan Yokohama Natl Univ Yokohama Japan

ISBN: (数字)9783031376795

ISBN: (纸本)9783031376788;9783031376795

the learning with errors (LWE) problem is one of the fundamental problems in cryptography and it has many applications in post-quantum cryptography. there are two variants of the problem, the decisional-LWE problem, and the search-LWE problem. LWE search-to-decision reduction shows that the hardness of the search-LWE problem can be reduced to the hardness of the decisional-LWE problem. the efficiency of the reduction can be regarded as the gap in difficulty between the problems. We initiate a study of quantum search-to-decision reduction for the LWE problem and propose a reduction that satisfies sample-preserving. In sample-preserving reduction, it preserves all parameters even the number of instances. Especially, our quantum reduction invokes the distinguisher only 2 times to solve the search-LWE problem, while classical reductions require a polynomial number of invocations. Furthermore, we give a way to amplify the success probability of the reduction algorithm. Our amplified reduction works with fewer LWE samples compared to the classical reduction that has a high success probability. Our reduction algorithm supports a wide class of error distributions and also provides a search-to-decision reduction for the learning parity with noise problem. In the process of constructing the search-to-decision reduction, we give a quantum Goldreich-Levin theorem over Z(q) where q is prime. In short, this theorem states that, if a hardcore predicate a center dot s (mod q) can be predicted with probability distinctly greater than 1/q with respect to a uniformly random a epsilon Z(q)(n), then it is possible to determine s epsilon Z(q)(n)

关键词： learning with errors learning parity with noise Search-to-decision reduction Goldreich-Levin theorem Quantum reduction Query complexity Sample complexity

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Elements of Task theory 1

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14th international conference on Artificial General Intelligence (AGI)

作者： Belenchia, Matteo thorisson, Kristinn R. Eberding, Leonard M. Sheikhlar, Arash Reykjavik Univ Menntavegur 1 IS-102 Reykjavik Iceland IIIM Reykjavik Iceland Univ Camerino Via Andrea Accorso 16 Camerino Italy

ISBN: (数字)9783030937584

ISBN: (纸本)9783030937577;9783030937584

Tasks are of primary importance for artificial intelligence (AI), yet no theory about their characteristics exists. the kind of task theory we envision is one that allows an objective comparison of tasks, based on measurable physical properties, and that can serve as a foundation for studying, evaluating, and comparing learning controllers of various kinds on a variety of tasks by providing principled ways for constructing, comparing, and changing tasks with particular properties and levels of difficulty. In prior papers we have outlined an approach towards this goal;in this paper we present further principles for its development, including causal relations. We use these principles to expand our prior ideas, with the aim of laying the groundwork for covering levels of detail, prior knowledge of the learner/performer and task difficulty, to name some of the complex issues that must be solved for a useful task theory.

关键词： Tasks Environments Task theory Artificial intelligence General machine intelligence Evaluation

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theoretical Understandings of Product Embedding for E-commerce Machine learning 21

Theoretical Understandings of Product Embedding for E-commer...

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14th ACM international conference on Web Search and Data Mining (WSDM)

作者： Xu, Da Ruan, Chuanwei Korpeoglu, Evren Kumar, Sushant Achan, Kannan Walmart Labs Sunnyvale CA 94086 USA Instacart San Francisco CA USA

ISBN: (纸本)9781450382977

Product embeddings have been heavily investigated in the past few years, serving as the cornerstone for a broad range of machine learning applications in e-commerce. Despite the empirical success of product embeddings, little is known on how and why they work from the theoretical standpoint. Analogous results from the natural language processing (NLP) often rely on domain-specific properties that are not transferable to the e-commerce setting, and the downstream tasks often focus on different aspects of the embeddings. We take an e-commerce-oriented view of the product embeddings and reveal a complete theoretical view from both the representation learning and the learning theory perspective. We prove that product embeddings trained by the widely-adopted skip-gram negative sampling algorithm and its variants are sufficient dimension reduction regarding a critical product relatedness measure. the generalization performance in the downstream machine learning task is controlled by the alignment between the embeddings and the product relatedness measure. Following the theoretical discoveries, we conduct exploratory experiments that supports our theoretical insights for the product embeddings.

关键词： Representation learning Product relation Information theory Sufficient dimension reduction Machine learning theory

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A machine learning approach for medical device classification 14

A machine learning approach for medical device classificatio...

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14th international conference on theory and Practice of Electronic Governance (ICEGOV)

作者： Ceross, Aaron Bergmann, Jeroen Univ Oxford Oxford England

ISBN: (纸本)9781450390118

the growth of medical device innovation over the last decades has necessitated the need for strong regulatory control in order to ensure the safety and performance of such devices. Medical devices are categorised according to the risk posed to the public. However, the legislation describing the classification rules are often dense and difficult to read. In order to facilitate device classification, the medical device regulator in Australia, the therapeutic Goods Authority (TGA), provides online digital support tool for device classification. In this work, we (i) evaluate the online tool and (ii) make a further a proposal for using machine learning as means to provide more effective results. For the first part of this work, we asses whether the tool increases the readability of the legislative rules by evaluating the Flesch reading ease score of the legislation and the tool. While the online tool provides some degree of simplicity and readability over the legislation, we argue that the TGA can make more use of its data in order to provide more effective services. In the second part, we develop a proof-of-concept machine learning model to classify a device based on its stated purpose. the results of the experiment show a 82% weighted accuracy across four class labels, indicating that a more data-driven approach could be adopted by the authority.

关键词： Laws and legislation

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Applying DOI theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications

Applying DOI Theory to Assess the Required Level of Explaina...

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international conference on Information, Intelligence, Systems and Applications (IISA)

作者： Dimitrios P. Panagoulias Maria Virvou George A. Tsihrintzis Department of Informatics University of Piraeus Piraeus Greece

As artificial intelligence-empowered applications flourish and machine learning methodologies are commonly used to process large chunks of data and make decisions, the need for explainable artificial intelligence is becoming ever more pressing. In this work, we present results from a survey we conducted on the level of adoption of artificial intelligence-empowered applications by physicians. Next, we employ the diffusion of Innovation theory to determine what kind of adopters the doctors are and thus outline an implementation strategy and the level and depth of required explainability.

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How to improve students' intrinsic motivation and 4C skills in the virtual e-learning community and evaluate its results 14

How to improve students' intrinsic motivation and 4C skills ...

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14th international conference on Education Technology and Computers, ICETC 2022

作者： Qin, Bo Zhao, Dan Dan School of Design and Fine Art Shenyang Jianzhu University China

ISBN: (纸本)9781450397766

Many courses from Chinese Universities have to change the teaching model and content in suit for distance learning because of COVID-19 pandemic. this paper indicates a virtual learning community called Digital Philosophy Club (DPC) instead of learning philosophy in classroom. It uses three cooperative platforms to integrate an E-learning environment, in which students can participate online activities. they can motivate positively through explorative, and social learning experiences. To research the result of students' learning, consulting from semi-structured interviews with students from 8 faculties, analyses how to improve the intrinsic motivation and 4C skills (4Cs) in the virtual e-learning community. the research method is based on the Tripartite Model of Intrinsic Motivation and explains the results from consultation. Base on the questionnaire analysis, the following results are reached: 1. the practical methods of DPC can improve the students' positive motivation;2, learning- support in DPC is conductive to enhance 4Cs abilities;3. the teaching methods in DPC are approved by the theory of Tripartite Model of Intrinsic Motivation from Psychology. © 2022 ACM.

关键词： Students

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Navigating Conceptual Space;A New Take on AGI 1

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14th international conference on Artificial General Intelligence (AGI)

作者： Leikanger, Per Roald UiT Arctic Univ Norway Tromso Norway

ISBN: (数字)9783030937584

ISBN: (纸本)9783030937577;9783030937584

Edward C. Tolman found reinforcement learning unsatisfactory for explaining intelligence and proposed a clear distinction between learning and behavior. Tolman's ideas on latent learning and cognitive maps eventually led to what is now known as conceptual space, a geometric representation where concepts and ideas can form points or shapes. Active navigation between ideas - reasoning - can be expressed directly as purposive navigation in conceptual space. Assimilating the theory of conceptual space from modern neuroscience, we propose autonomous navigation as a valid approach for emulated cognition. However, achieving autonomous navigation in high-dimensional Euclidean spaces is not trivial in technology. In this work, we explore whether neoRL navigation is up for the task;adopting Kaelbling's concerns for efficient robot navigation, we test whether the neoRL approach is general across navigational modalities, compositional across considerations of experience, and effective when learning in multiple Euclidean dimensions. We find neoRL learning to be more resemblant of biological learning than of RL in AI, and propose neoRL navigation of conceptual space as a plausible new path toward emulated cognition.

关键词： Reinforcement learning

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the utilisation of interactive simulations in the teaching and learning of a grade 10 chemistry topic: A case in the north west province of south africa the utilisation of interactive simulations in chemistry 14

The utilisation of interactive simulations in the teaching a...

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14th international conference on Education Technology and Computers, ICETC 2022

作者： Sebatana, Motlhale Judicial Dudu, Washington Takawira Self-Directed Learning North-West University South Africa

ISBN: (纸本)9781450397766

this study focussed on the utilisation of interactive simulations in the teaching and learning of a Grade 10 Chemistry topic (three states of matter [TSM]) - specifically sub-microscopic behaviour of particles - in the South African context. In this study, the utilisation of PhET interactive simulations is twofold: (i) for conceptual understanding of TSM;(ii) and for administering a practical experiment. the overarching theoretical framework underpinning this study is experiential learning theory. In order to understand and capture in-depth data, it was ideal to adopt an interpretive, exploratory qualitative case study approach rather than a quantitative approach. this study was conducted in one of the nine educational provinces (North West) of South Africa, where the authors reside, hence convenience sampling was employed to select the province. Two in-service Grade 10 Physical Sciences teachers from two rural secondary schools were purposively selected from one of the four educational districts in the North West province. A code-to-theory model was used to analyse the data. the main findings of this study showed that, despite the advantages of PhET interactive simulations to promote conceptual understanding and allowing for the administration of TSM laboratory experiments, interactive simulations may result in misconceptions. It is recommended that PhET interactive simulations be utilised for effective teaching and learning of abstract concepts and conceptual understanding of sub-microscopic behaviour of particles in TSM. © 2022 ACM.

关键词： Conceptual understanding of three states of matter Heating curve PhET interactive simulations Sub-microscopic behaviour of particles

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