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检索条件"任意字段=12th International Conference on Inductive Logic Programming"

共 385 条记录，以下是31-40 订阅

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12th international conference on Reversible Computation,RC 2020

12th International Conference on Reversible Computation,RC 2...

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12th international conference on Reversible Computation,RC 2020

ISBN: (纸本)9783030524814

the proceedings contain 18 papers. the special focus in this conference is on Reversible Computation. the topics include: Quantum CNOT Circuits Synthesis for NISQ Architectures Using the Syndrome Decoding Problem;maximality of Reversible Gate Sets;search-Based Transformation Synthesis for 3-Valued Reversible Circuits;ReverCSP: Time-Travelling in CSP Computations;reversible Computations in logic programming;towards a Formal Account for Software Transactional Memory;encoding Reversing Petri Nets in Answer Set programming;a Reversible Runtime Environment for Parallel Programs;reversible Occurrence Nets and Causal Reversible Prime Event Structures;involutory Turing Machines;Event Structures for the Reversible Early Internal$$\pi $$ -Calculus;hermes: A Language for Light-Weight Encryption;reversible programming Languages Capturing Complexity Classes;on the Expressivity of Total Reversible programming Languages;toward a Curry-Howard Equivalence for Linear, Reversible Computation: Work-in-Progress;a Tutorial Introduction to Quantum Circuit programming in Dependently Typed Proto-Quipper.

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Combining Zonotope Abstraction and Constraint programming for Synthesizing inductive Invariants 12th

Combining Zonotope Abstraction and Constraint Programming fo...

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12th international conference on Verified Software (VSTTE) and the 13th international Workshop on Numerical Software Verification (NSV)

作者： Kabi, Bibek Goubault, Eric Mine, Antoine Putot, Sylvie Inst Polytech Paris CNRS Ecole Polytech LIX Palaiseau France Sorbonne Univ CNRS Lab Informat Paris 6 Paris France

ISBN: (纸本)9783030636173;9783030636180

We propose to extend an existing framework combining abstract interpretation and continuous constraint programming for numerical invariant synthesis, by using more expressive underlying abstract domains, such as zonotopes. the original method, which relies on iterative refinement, splitting and tightening a collection of abstract elements until reaching an inductive set, was initially presented in combination with simple underlying abstract elements: boxes and octagons. the novelty of our work is to use zonotopes, a sub-polyhedric domain that shows a good compromise between cost and precision. As zonotopes are not closed under intersection, we had to extend the existing framework, in addition to designing new operations on zonotopes, such as a novel splitting algorithm based on paving zonotopes by sub-zonotopes and parallelotopes. We implemented this method on top of the APRON library, and tested it on programs with non-linear loops that present complex, possibly non-convex, invariants. We present some results demonstrating both the interest of this splitting-based algorithm to synthesize invariants on such programs, and the good compromise presented by its use in combination with zonotopes with respect to its use with both simpler domains such as boxes and octagons, and more expressive domains such as polyhedra.

关键词： Iterative methods

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Verified Transformations and Hoare logic: Beautiful Proofs for Ugly Assembly Language 12th

Verified Transformations and Hoare Logic: Beautiful Proofs f...

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12th international conference on Verified Software (VSTTE) and the 13th international Workshop on Numerical Software Verification (NSV)

作者： Bosamiya, Jay Gibson, Sydney Li, Yao Parno, Bryan Hawblitzel, Chris Carnegie Mellon Univ Pittsburgh PA 15213 USA MIT Cambridge MA USA Univ Penn Philadelphia PA USA Microsoft Res Redmond WA USA

ISBN: (纸本)9783030636173;9783030636180

Hand-optimized assembly language code is often difficult to formally verify. this paper combines Hoare logic with verified code transformations to make it easier to verify such code. this approach greatly simplifies existing proofs of highly optimized OpenSSL-based AES-GCM cryptographic code. Furthermore, applying various verified transformations to the AES-GCM code enables additional platform-specific performance improvements.

关键词： Cosine transforms

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Toward a Curry-Howard Equivalence for Linear, Reversible Computation Work-in-Progress 12th

Toward a Curry-Howard Equivalence for Linear, Reversible Com...

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12th international conference on Reversible Computation (RC)

作者： Chardonnet, Kostia Saurin, Alexis Valiron, Benoit Université Paris-Saclay CNRS CentraleSupélec Laboratoire de Recherche en Informatique Orsay 91405 France Université de Paris IRIF CNRS Paris 75013 France Équipe πr² Inria Paris France

ISBN: (纸本)9783030524814;9783030524821

In this paper, we present a linear and reversible language with inductive and coinductive types, together with a Curry-Howard correspondence with the logic mu MALL: linear logic extended with least and greatest fixed points allowing inductive and coinductive statements. Linear, reversible computation makes an important sub-class of quantum computation without measurement. In the latter, the notion of purely quantum recursive type is not yet well understood. Moreover, models for reasoning about quantum algorithms only provide complex types for classical datatypes: there are usually no types for purely quantum objects beside tensors of quantum bits. this work is a first step towards understanding purely quantum recursive types.

关键词： Reversible computation Linear logic Curry-Howard

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Modeling Block Structured Project Scheduling with Resource Constraints 12th

Modeling Block Structured Project Scheduling with Resource C...

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12th international conference on Large-Scale Scientific Computations (LSSC)

作者： Badica, Amelia Badica, Costin Logofatu, Doina Buligiu, Ion Ciora, Liviu Univ Craiova Craiova Romania Univ Appl Sci Frankfurt Germany

ISBN: (纸本)9783030410322;9783030410315

We propose a formal model of block-structured project scheduling with resource constraints, with the goal of designing optimization algorithms. We combine block structured modeling of business processes with results from project scheduling literature. Differently from standard approaches, here we focus on block structured scheduling processes. Our main achievement is the formulation of an abstract mathematical model of block-structured resource-constrained scheduling processes. We tested the correctness and feasibility of our approach using an initial experimental prototype based on Constraint logic programming.

关键词： Project scheduling Process algebra Ordering and resource constraints Constraint logic programming

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Incremental Declarative Process Mining with WoMan 12

Incremental Declarative Process Mining with WoMan

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12th IEEE international conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS)

作者： Ferilli, Stefano Univ Bari Dept Comp Sci Bari Italy

ISBN: (纸本)9781728143842

Contemporary society is pervaded by complex processes. A company's success may depend on the proper definition, handling and management of its processes. Automated process management is fundamental to efficiently, effectively and economically carry out complex processes. In particular, process discovery is fundamental to automatically obtain process models from available executions of processes, because manually building these models is complex, costly and error-prone. Very important is incrementality in learning and adapting the models. this is not trivial, especially if the model includes multi-perspectiveness and guards. this paper describes the incremental process discovery strategy of the WOMAN framework for workflow management, based on First-Order logic. It is fully and inherently incremental, it is more expressive than standard formalisms adopted in the literature, and ensures strict adherence to the observed practices. the incremental behavior of WoMan is also analyzed, reporting several experiments that show its effectiveness and efficiency.

关键词： Business Process Modeling Process Discovery logic programming

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Automatic Categorization of Introductory programming Students 12th

Automatic Categorization of Introductory Programming Student...

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international Joint conference: 12th international conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th international conference on European Transnational Education, ICEUTE 2019

作者： Rubio, Miguel A. University of Granada Granada Spain

ISBN: (纸本)9783030200046

Learning to program can be quite difficult for CS1 students. they must master language syntax, programming theory and problem-solving techniques in a short period of time. Consequently, a significant percentage of students struggle to successfully complete CS1. Several studies have shown that students that do poorly the first weeks tend to fail at the end of the course. We would be able to help these students if we could automatically infer their learning stages during the course. One powerful tool that we can use to this end is cluster analysis: a class of computational methods that has been proved effective in analyzing complex datasets, including novice programmers’ learning trajectories. Our aim in this study is to explore the feasibility of using exercises based on the neo-Piagetian model together with cluster analysis to infer the learning stage of the novice programmer. We have been able to automatically classify students at the end of an introductory programming course obtaining highly stable clusters compatible with Neo-Piagetian theory. © 2020, Springer Nature Switzerland AG.

关键词： Cluster analysis

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NFV-Based Distributed Service Function Chaining with Imperfect Information

NFV-Based Distributed Service Function Chaining with Imperfe...

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conference on Information and Knowledge Technology

作者： Mahsa Alikhani Marzieh Sheikhi Vesal Hakami School of Computer Engineering Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9781665408509

Software-defined networking (SDN) and network function virtualization (NFV) technologies have emerged as promising paradigms in recent innovations for deploying users' demanded services. In this context, service function chaining (SFC) helps telecommunication operators to provide complex network services and improve their performance. this paper first addresses the service function chain deployment problem as an integer linear programming (ILP) problem under an impractical non-causal assumption about the network information for which we provide a solution in a centralized fashion. However, in real-life networks, distributed schemes are more scalable. Also, some parameters, such as the latency of the links, fluctuate over time because of the sharing nature of cloud datacenters, and their probabilistic distributions are unknown prior to deployment. therefore, we re-formulate the NFV -based SFC deployment problem as a noisy weighted congestion game and rely only on the actually experienced delay samples on each of the links to configure SFCs in a near-optimal fashion. In particular, we propose a multi-agent learning based algorithm using which each agent decides its VNF -based service chain only based on its own history of adopted actions and realized costs. By changing the network configuration, simulation results show that our proposed algorithm is at most 18% worse than the optimal solution, and in some situations, it behaves exactly the same as optimal results.

关键词： Technological innovation Service function chaining Simulation Games Integer linear programming Probabilistic logic Nash equilibrium

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Inverse Problems, Constraint Satisfaction, Reversible logic, Invertible logic and Grover Quantum Oracles for Practical Problems 12th

Inverse Problems, Constraint Satisfaction, Reversible Logic,...

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12th international conference on Reversible Computation (RC)

作者： Perkowski, Marek Department of Electrical and Computer Engineering Portland State University Portland 97207 OR United States

ISBN: (纸本)9783030524814;9783030524821

It is well-known that the "Unsorted Database" quantum algorithm by Grover gives quadratic speedup to several important combinatorial and enumerative problems, such as: SAT, Graph Coloring, Maximum Cliques, Travelling Salesman and many others. Recently, quantum programming languages such as Quipper start to be used to design, verify and simulate practical quantum algorithms for important problems in Quantum Machine Learning. So far, however, no methodologies have been created to program Grover Oracles for particular classes of problems. In contrast, such methodologies have been already created for classical Constraint Satisfaction Problems. the goal of this invited talk is to show results of some initial research towards creating systematic methodologies to program quantum computers that solve search problems in Artificial Intelligence, logic Design and Machine Learning. Our methods are based on unified oracle blocks for such problem representations as set partition algebra, cube calculus and optimal mappings. For instance, several important problems in CAD and Machine Learning can be solved using only two basic operations on set partitions;Pi(1) <= Pi(2) and Pi 1 center dot Pi 2. Moreover, building oracles is the fundamental concept in the new approach to solve CSP proposed here and based on Invertible logic introduced recently by Supriyo Datta and his team.

关键词： Inverse problems Oracles Grover algorithm Invertible logic

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international Joint conference: 12th international conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th international conference on European Transnational Education, ICEUTE 2019

International Joint Conference: 12th International Conferenc...

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ISBN: (纸本)9783030200046

the proceedings contain 35 papers. the special focus in this conference is on Computational Intelligence in Security for Information Systems. the topics include: Deep Wavelet Extreme Learning Machine for Data Classification;palm Vein Age and Gender Estimation Using Center Symmetric-Local Binary Pattern;neuro-Evolutionary Feature Selection to Detect Android Malware;improving Blockchain Security Validation and Transaction Processing through Heterogeneous Computing;anomaly Detection on Patients Undergoing General Anesthesia;an Internet Voting Proposal Towards Improving Usability and Coercion Resistance;linearization of Cryptographic Sequences;On-the-Fly Testing an Implementation of Arrow Lightweight PRNG Using a LabVIEW Framework;a Novel Construction for Streaming Networks with Delays;comparison of System Call Representations for Intrusion Detection;hyot: Leveraging Hyperledger for Constructing an Event-Based Traceability System in IoT;data Mining for Statistical Evaluation of Summative and Competency-Based Assessments in Mathematics;looking for the Antidote for Contaminated Water: Learning through an Escape Game;enhancing Collaborative Learning through Pedagogical Alignment;rules_Math: Establishing Assessment Standards;evaluate Mathematical Competencies in Engineering Using Video-Lessons;statistical Methods – What Is the Problem Here?;enhancing the Learning of Cryptography through Concept Maps;analysis of Student Achievement Scores: A Machine Learning Approach;analysis of Teacher Training in Mathematics in Paraguay’s Elementary Education System Using Machine Learning Techniques;Efficient Verification of Security Protocols Time Properties Using SMT Solvers;cooperative Evaluation Using Moodle;automatic Categorization of Introductory programming Students;using Scratch to Improve Undergraduate Students’ Skills on Artificial Intelligence;project-Based Methodology to Lecture on Web Frameworks Applied to the Management of Health-Related Data;mirkwood: An Online Parallel Craw

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