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Advantages of a neuro-symbolic solution for monitoring IT infrastructures alerts

Advantages of a neuro-symbolic solution for monitoring IT in...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Darian M. Onchis Codruta Istin Hogea Eduard-Florin Department of Computer Science West University of Timisoara Timisoara Romania Department of Computers and IT Politehnica University of Timisoara Timisoara Romania

the classification and at the same time the inter-active characterization of both bad connections, called alerts or attacks, as well as normal connections, is a must for monitoring network traffic. For this specific task, we developed in this study a neuro-symbolic predictive model based on Logic Tensor Networks. Moreover, we present in detail the advantages and disadvantages of using our hybrid system versus the usage of a standard feed-forward deep neural network classifier. For a relevant comparison, the same dataset was used during training and the metrics resulted have been compared. An overview shows that while both algorithms have similar precision, the hybrid approach gives also the possibility to have interactive explanations and deductive reasoning over data.

关键词： Training Tensors scientific computing Telecommunication traffic Predictive models Cognition Classification algorithms

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Irrelevance in Incomplete Fuzzy Arithmetic

Irrelevance in Incomplete Fuzzy Arithmetic

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Laura Franzoi Faculty of Mathematics and Computer Science University of Bucharest Romania

ISBN: (纸本)9781509057085

Irrelevance, a notion which was first put forward by this author jointly with A. Sgarro, is a convenient tool to speed up computations in the arithmetic of interactive fuzzy numbers. In this paper we are trying to understand what happens if the fuzzy quantities one is considering are incomplete, or sub-normal, that is if one allows that a fuzzy quantity is "cut" at a height h which is less than 1. We motivate the reasons why we deem it important to extend fuzzy arithmetic to fuzzy quantities which may be incomplete, and we show that irrelevance keeps proving a convenient tool. Interactivity is described by suitable monotone joins, which generalize t-norms.

关键词： Distribution functions Probabilistic logic Fuzzy set theory scientific computing Computer science Electronic mail

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Hybrid Intervals and symbolic Block Matrices

Hybrid Intervals and Symbolic Block Matrices

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Mike Ghesquiere Stephen M. Watt Computer Science Department University of Western Ontario Canada Joy Life Inc 407 E Duarte Rd #E Arcadia CA USA Cheriton School of Computer Science University of Waterloo Canada

Structured matrices with symbolic sizes appear frequently in the literature, especially in the description of algorithms for linear algebra. Recent work has treated these symbolic structured matrices themselves as computational objects, showing how to add matrices with blocks of different symbolic sizes in a general way while avoiding a combinatorial explosion of cases. the present article introduces the concept of hybrid intervals, in which points may have negative multiplicity. Various operations on hybrid intervals have compact and elegant formulations that do not require cases to handle different orders of the end points. this makes them useful to represent symbolic block matrix structures and to express arithmetic on symbolic block matrices compactly. We use these ideas to formulate symbolic block matrix addition and multiplication in a compact and uniform way.

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Designing a Grid-Based Training Platform for Earth Observation

Designing a Grid-Based Training Platform for Earth Observati...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Silviu Panica Marian Neagul Dana Petcu Teodor Stefanut Dorian Gorgan Computer Science Department West University of Timisoara Romania Computers Department Technical University of Cluj Napoca Romania

Grid-based platforms were recently build all over the world to satisfy the huge needs of computational power and storage capacities for Earth observation activities. Training activities in the field are not following these developing activities, resulting a big gap between the field request for specialists and the labor market offer. In this context, a platform for high education and training in Earth observation using the latest achievements in information technologies is a clear need at least for the scientific community. this paper presents the concepts behind a newly established Grid-based platform that offers learning objects based on hands-on experiments for Earth observation community.

关键词： Earth Grid computing Geoscience Educational programs Distributed computing scientific computing Algorithm design and analysis Computer science Information technology Distributed databases

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Superfluous S-polynomials in Strategy-Independent Groebner Bases

Superfluous S-polynomials in Strategy-Independent Groebner B...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Grant Olney Passmore Leonardo de Moura LFCS University of Edinburgh Edinburgh UK Microsoft Research Limited Redmond WA USA

Using the machinery of proof orders originally introduced by Bachmair and Dershowitz in the context of canonical equational proofs, we give an abstract, strategy-independent presentation of Groebner basis procedures and prove the correctness of two classical criteria for recognising superfluous S-polynomials, Buchberger's criteria 1 and 2, w.r.t. arbitrary fair and correct basis construction strategies. To do so, we develop a general method for proving the strategy-independent correctness of superfluous S-polynomial criteria which seems to be quite powerful. We also derive a new superfluous S-polynomial criterion which is a generalisation of Buchberger-1 and is proved to be correct strategy-independently.

关键词： Polynomials Algebra Equations Inference algorithms scientific computing Commutation Machinery Sufficient conditions Crystallization Quantum computing

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Gauss-Lobatto-Kronrod Formulae and Adaptive numerical Integration

Gauss-Lobatto-Kronrod Formulae and Adaptive Numerical Integr...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Radu Tiberiu Trimbitas Maria Gabriela Trimbitas Department of Applied Mathematics Babes Bolyai University Cluj-Napoca Romania Department of Applied Mathematics “Babeş”University Cluj-Napoca Romania Department of Computer Science “Babeş-Bolyai” University Cluj-Napoca Romania

the aim of this paper is to develop a MATLAB function for one dimensional numerical integration based on adaptive algorithms and Gauss-Lobatto-Kronrod formulas. Using Maple, we find a triple of formulas, and then we use it to code ananalogous of MATLAB quadl function with a higher degree of exactness. Finally, some examples and tests which compare our function and quadl are given. Our function is a good alternative to quadl when the accuracy and reliability requirements are hard.

关键词： Gaussian processes MATLAB Adaptive algorithm Polynomials Error analysis scientific computing Mathematics Computer science Testing Helium

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Learning Spectral Properties of Boolean Functions: A Unifying theme in Quantum algorithms

Learning Spectral Properties of Boolean Functions: A Unifyin...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Mohsen Heidari Amr Sabry Department of Computer Science Indiana University Bloomington Indiana USA

Quantum computing algorithms are often presented with a notation and perspective inspired by physics. We instead relate a family of quantum algorithms to the classical problem of learning spectral properties of boolea... 详细信息

ISBN: (数字)9798331532833

ISBN: (纸本)9798331532840

关键词： Quantum algorithm Boolean functions Fourier transforms scientific computing Physics

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Concurrent Reflective Abstract State Machines

Concurrent Reflective Abstract State Machines

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Klaus-Dieter Schewe Christian Doppler Laboratory for Client-Centric Cloud Computing Linz Austria

ISBN: (纸本)9781538626276

the core of a distributed system can be characterised by autonomously acting agents, where each agent executes its own program, uses shared resources and communicates with the others, but otherwise is totally oblivious to the behaviour of the other agents. In a distributed adaptive system (DAS) agents may change their programs, enter or leave the collection at any time thereby changing the behaviour of the overall system. the behavioural theory of DAS provides an axiomatic definition plus a proof that concurrent reflective abstract state machines (crASMs) captures all systems stipulated by the axioms. In this paper we take a closer look into crASMs emphasising the tree background structure that is needed for handling the manipulation of self-representations.

关键词： Silicon Parallel algorithms Vocabulary Adaptive systems Adaptation models Linguistics Concurrent computing

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Reducing Adversarial Vulnerability Using GANs

Reducing Adversarial Vulnerability Using GANs

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Ciprian-Alin Simion Bitdefender Laboratory "Al.I. Cuza" University - Faculty of Computer Science Iaşi România

the Cyber-threat industry is ever-growing and it is very likely that malware creators are using generative methods to create new malware as these algorithms prove to be very potent. As the majority of researchers in this field are focused on new methods to generate better adversarial examples (w.r.t. fidelity, variety or number) just a small portion of them are concerned with defense methods. this paper explores three methods of feature selection in the context of adversarial attacks. these methods aim to reduce the vulnerability of a Multi-Layer Perceptron to GAN-inflicted attacks by removing features based on rankings computed by type or by using LIME or F-Score. Even if no strong conclusion can be drawn, this paper stands as a Proof-of-Concept that because of good results in some cases, adversarial feature selection is a worthy exploration path.

关键词： Industries Machine learning algorithms scientific computing Feature extraction Malware

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SORMSYS: Towards a Resource Management Platform for Self-Organizing Large Scale Distributed Systems

SORMSYS: Towards a Resource Management Platform for Self-Org...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Florin Pop Computer Science Department Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Romania

the SORMSYS project's main goal is to optimize resource management in large scale distributed systems with the capability of self-organization. this paper will present the design of management architecture based on existing middleware solutions through the design of algorithms and methods inspired by natural models. the architecture is full decentralized and it will aim to optimize resource management in different types of distributed systems such as Grid, P2P, and Cloud. the important components considered for the architecture are: allocation of resources, task scheduling, resource discovery, monitoring resources and provide fault tolerance. the SORMSYS project aims to highlights the original obtained results in internationally scientific community. the paper also presents the expecting results and discusses the performance evaluation of proposed architecture.

关键词： Resource management Scheduling Computer architecture Cloud computing Software Peer to peer computing Computational modeling

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