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检索条件"任意字段=16th International Conference of Inductive Logic Programming"

共 302 条记录，以下是81-90 订阅

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Measuring the Incoherent Information in Multi-adjoint Normal logic Programs 10th

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10th conference of the European-Society-for-Fuzzy-logic-and-Technology (EUSFLAT) / 16th international Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN)

作者： Eugenia Cornejo, M. Lobo, David Medina, Jesus Univ Cadiz Dept Math Cadiz Spain

ISBN: (纸本)9783319668307;9783319668291

Databases usually contain incoherent information due to, for instance, the presence of noise in the data. the detection of the incoherent information is an important challenge in different topics. In this paper, we will consider a formal notion for this kind of information and we will study different measures in order to detect incoherent information in a general fuzzy logic programming framework. As a consequence, we can highlight some irregular data in a multi-adjoint normal logic program and so, in other useful and more particular frameworks.

关键词： Multi-adjoint normal logic program Coherence interpretation Incoherence measure

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Omission-Based Abstraction for Answer Set Programs 16

Omission-Based Abstraction for Answer Set Programs

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16th international conference on Principles of Knowledge Representation and Reasoning

作者： Saribatur, Zeynep G. Eiter, thomas TU Wien Inst Log & Computat Vienna Austria

ISBN: (纸本)9781577358039

*Abstraction is a well-known approach to reduce program complexity by over-approximating the problem with a deliberate loss of information. It has not been considered so far in the context of Answer Set programming, a convenient tool for problem solving. In this paper, we introduce a method to automatically abstract ground ASP programs that preserves their structure by reducing the vocabulary. Such an abstraction makes it possible to generate partial answer set candidates, which can help with the approximation of reasoning. Faithful (non-spurious) abstractions may be used to represent the projection of answer sets and to guide solvers in answer set construction. In order to deal with the unavoidably introduced spurious answer sets, we employ an ASP debugging approach to help with the refinement of the abstraction. We investigate the usage of such an abstraction to obtain explanations of unsatisfiable programs as a show case.

关键词： logic programming

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Towards Dynamic Multi-task Schedulling of OpenCL Programs on Emerging CPU-GPU-FPGA Heterogeneous Platforms: a Fuzzy logic Approach 10

Towards Dynamic Multi-task Schedulling of OpenCL Programs on...

引用

10th IEEE international conference on Cloud Computing Technology and Science (IEEE CloudCom)

作者： Al-Zoubi, Ahmad Tatas, Konstantinos Kyriacou, Costas Frederick Univ Dept Comp Sci & Engn Nicosia Cyprus

ISBN: (纸本)9781538678992

Heterogeneous systems featuring multiple kinds of processors are becoming increasingly attractive due to their high performance and energy saving over the homogeneous systems. With the OpenCL as a unified programming language providing programs portability, and the recent advances in transistor technology allowing multi-core CPUs, GPUs and FPGA to be on the same chip, finding the best task-to-device mapping will be the key to gain such high performance and leverage their use from application dedicated devices to platforms for concurrent user applications. this work proposes an energy-efficient scheduling scheme to schedule concurrent OpenCl tasks targeting CPU+GPU+FPGA heterogeneous systems by setting the best kernel-device pair at run-time. the scheme is expected to provide the best mapping in terms of throughput and energy consumption under the constraints of hardware resources, concurrent execution and contention scenarios.

关键词： Heterogeneous OpenCL Fuzzy-logic Task Scheduling Energy-Efficient

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Facility Location Selection Employing Fuzzy DEA and Fuzzy Goal programming Techniques 10th

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10th conference of the European-Society-for-Fuzzy-logic-and-Technology (EUSFLAT) / 16th international Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN)

作者： Cedolin, Michele Goker, Nazli Dogu, Elif Albayrak, Y. Esra Galatasaray Univ Dept Ind Engn Ciragan Cad 36 Ortakoy Istanbul Turkey

ISBN: (纸本)9783319668307;9783319668291

Facility location selection have strategic importance for companies because it influences not only manufacturing and transportation costs but also productivity and lead times to a great extend. Additionally, it is considered as hard and complicated tasks with respect to its multi-objective nature and difficulties resulted from collecting necessary data. therefore this problem has always been an important subject of engineering literature. the aim of this study is to solve a facility location selection problem in a manufacturing company that locates in Tekirdag/Turkey. this company has six different factories in the same facility and is considering about establishing a plastic injection factory in the future for producing some of the important plastic components in order to gain cost advantage and also to increase know-how. For this purpose, facility location selection problem is aimed to be solved by applying fuzzy data envelopment analysis (Fuzzy DEA) and fuzzy goal programming (Fuzzy GP) methods.

关键词： Facility location selection Fuzzy DEA Fuzzy goal programming MCDM

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16th international conference on Software Engineering and Formal Methods, SEFM 2018 Held as Part of STAF 2018

16th International Conference on Software Engineering and Fo...

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16th international conference on Software Engineering and Formal Methods, SEFM 2018 Held as Part of STAF 2018

ISBN: (纸本)9783319929699

the proceedings contain 18 papers. the special focus in this conference is on Software Engineering and Formal Methods. the topics include: Online enumeration of all minimal inductive validity cores;prevent: A predictive run-time verification framework using statistical learning;formal verification of platoon control strategies;exploring properties of a telecommunication protocol with message delay using interactive theorem prover;automated validation of IoT device control programs through domain-specific model generation;graph-based shape analysis beyond context-freeness;Facilitating component reusability in embedded systems with GPUs;from software specifications to constraint programming;automated specification extraction and analysis with specstractor;bridging the gap between informal requirements and formal specifications using model federation;program verification for exception handling on active objects using futures;spread the work: Multi-threaded safety analysis for hybrid systems;fastLane is opaque – A case study in mechanized proofs of opacity;monte carlo tree search for finding costly paths in programs;a cloud-based execution framework for program analysis.

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A Fuzzy Approach for Recommending Problems to Solve in programming Online Judges 16th

A Fuzzy Approach for Recommending Problems to Solve in Progr...

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16th Mexican international conference on Artificial Intelligence (MICAI)

作者： Yera, Raciel Caballero, Yaile Univ Ciego de Avila Ciego De Avila Cuba Univ Camaguey Camaguey Cuba

ISBN: (纸本)9783030028374;9783030028367

programming online judges are e-learning tools usually used in programming practices for the automatic evaluation of source code developed by students, for solving programming problems. Specifically, they contain a large collection of such problems where the students, at their own personalized pace, have to select and try to solve. therefore, the increasing of the number of problems makes difficult the selection of the right problem to solve according to the previous users performance, causing information overload and a widespread discouragement. the current contribution proposes a recommendation approach to mitigate this issue by suggesting problems to solve in programming online judges, through the use of fuzzy tools which manage the uncertainty related to this scenario. the proposal evaluation, using real data obtained from a programming online judge, shows that the new approach improves previous recommendation strategies which do not consider uncertainty management in the programming online judge scenarios.

关键词： programming online judges Fuzzy logic Problems recommendation

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Finding cryptocurrency attack indicators using temporal logic and darkweb data 16

Finding cryptocurrency attack indicators using temporal logi...

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16th IEEE international conference on Intelligence and Security Informatics, ISI 2018

作者： Almukaynizi, Mohammed Paliath, Vivin Shah, Malay Shah, Malav Shakarian, Paulo Arizona State University United States Cyber Reconnaissance Inc. TempeAZ United States

ISBN: (纸本)9781538678480

With the recent prevalence of darkweb/deepweb (D2web) sites specializing in the trade of exploit kits and malware, malicious actors have easy-access to a wide-range of tools that can empower their offensive capability. In this study, we apply concepts from causal reasoning, itemset mining, and logic programming on historical cryptocurrency-related cyber incidents with intelligence collected from over 400 D2web hacker forums. Our goal was to find indicators of cyber threats targeting cryptocurrency traders and exchange platforms from hacker activity. Our approach found interesting activities that, when observed together in the D2web, subsequent cryptocurrency-related incidents are at least twice as likely to occur than they would if no activity was observed. We also present an algorithmic extension to a previously-introduced algorithm called APT-Extract that allows to model new semantic structures that are specific to our application. © 2018 IEEE.

关键词： logic programming

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From Software Specifications to Constraint programming 16th

From Software Specifications to Constraint Programming

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16th international conference on Software Engineering and Formal Methods (SEFM) Held as Part of conference on Software Technologies - Applications and Foundations (STAF)

作者： Hallerstede, Stefan Hasanagic, Miran Krings, Sebastian Larsen, Peter Gorm Leuschel, Michael Aarhus Univ Dept Engn Aarhus Denmark Univ Dusseldorf Dusseldorf Germany

ISBN: (纸本)9783319929705;9783319929699

Non-deterministic specifications play a central role in the use of formal methods for software development. Such specifications can be more readable, but hard to execute efficiently due to the usually large search space. Constraint programming offers advanced algorithms and heuristics for solving certain non-deterministic models. Unfortunately, this requires writing models in a form suitable for efficient solving where the readability typically required from a specification is lost. Tools like ProB attempt to bridge this gap by translating high-level first-order predicate logic specifications into formal models suitable for constraint solving. In this paper we study potential improvements to this methodology by (1) using refinement to transform specifications into models suitable for efficient solving, (2) translating first-order predicates directly into the OscaR framework and (3) using different kinds of solvers as a back end. Formal verification by proof ensures the correctness of the solution of the model with respect to the specification.

关键词： Constraint programming

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Enriched modeling and reasoning on business processes with ontologies and answer set programming 16th

Enriched modeling and reasoning on business processes with o...

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16th international conference on Business Process Management Forum, BPM Forum 2018

作者： Giordano, Laura theseider Dupré, Daniele DISIT Università del Piemonte Orientale Alessandria Italy

ISBN: (纸本)9783319986500

Domain ontologies may provide the proper level of abstraction in modeling semantic constraints and business rules in BPM;in fact, ontologies are intended to define terminologies to be shared within and across organizations and reused in different applications. In this paper we show how Answer Set programming (ASP), a powerful framework for declarative problem solving, can accommodate for domain ontologies in modeling and reasoning about Business Processes, especially for process verification. Description logics (DLs) provide the formal counterpart of ontologies, and in our approach knowledge on the process domain is expressed in a low-complexity DL. Terms from the ontology can be used in embedding business rules in the model as well as in expressing constraints that should be verified to achieve compliance by design. Causal rules for reasoning on side-effects of activities in the process domain can be derived, based on knowledge expressed in the DL. We show how ASP can accommodate them, relying on a reasoning about actions and change approach, for process analysis, and, in particular, for verifying formulas in temporal logic. © Springer Nature Switzerland AG 2018.

关键词： Ontology

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Early diagnosis of mild cognitive impairment: A case study in approaches to inductive-logic programming 16

Early diagnosis of mild cognitive impairment: A case study i...

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16th IEEE international conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017

作者： Martono, Niken Prasasti Yamaguchi, Takehiko Ohwada, Hayato Department of Industrial Administration Tokyo University of Science Japan Department of Applied Electronics Tokyo University of Science Japan School of Business and Management Bandung Institute of Technology Indonesia

ISBN: (纸本)9781538607701

Recent rapid advances in data collection routines in clinical science have led to a trend of storing patient data in a heterogeneous database. the lack of existing computing tools to enable operability to use machine learning on these heterogeneous data sources is a barrier to the healthcare sciences. Healthcare data is usually complex and highly context-dependent, and it requires modern computational tools to handle the complexity of such data. this study sought to utilize the data collected from virtual reality (VR)-based software and a leap-motion device used for learning in mild cognitive impairment (MCI) cases to enable early detection of MCI by analyzing the classification rules for errors (action slips) based on finger-action transitions when performing instrumental activities of daily living (IADL). Finger motion was recorded as a time-series database. An induction technique known as inductive-logic programming (ILP), which uses logical and clausal language to represent the training data, was then used to discover a concise classification rule using logical programming. We were able to generate rules on how action transitions of the finger in the experiments were related to the pattern of micro-errors that indicate the difference of error regarding the length of the no-motion state of the finger. © 2017 IEEE.

关键词： Machine learning

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