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This paper contains analysis of concept of a class within different object-oriented knowledge representation models. The main attention is paid to structure of the class and its efficiency in the context of data storage, using…

Artificial Intelligence · Computer Science 2018-11-02 Dmytro Terletskyi

Data prefetching aims to improve access times to data storage systems by predicting data records that are likely to be accessed by subsequent requests and retrieving them into a memory cache before they are needed. In the case of Persistent…

Databases · Computer Science 2020-05-26 Rizkallah Touma , Anna Queralt , Toni Cortes

Functional Programming has seen a resurgence in interest in the last few years and is often mentioned in opposition to Object-Orientated Programming. However, Object-Orientated Programming can actually absorb some of the lessons of…

Programming Languages · Computer Science 2021-04-02 Seamus Brady

Correctness of concurrent objects is defined in terms of safety properties such as linearizability, sequential consistency, and quiescent consistency, and progress properties such as wait-, lock-, and obstruction-freedom. These properties,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-07 Brijesh Dongol , Lindsay Groves

While object diagrams (ODs) are widely used as a means to document object-oriented systems, they are expressively weak, as they are limited to describe specific possible snapshots of the system at hand. In this paper we introduce modal…

Software Engineering · Computer Science 2014-09-09 Shahar Maoz , Jan Oliver Ringert , Bernhard Rumpe

Iterative refinement -- start with a random guess, then iteratively improve the guess -- is a useful paradigm for representation learning because it offers a way to break symmetries among equally plausible explanations for the data. This…

Machine Learning · Computer Science 2023-01-03 Michael Chang , Thomas L. Griffiths , Sergey Levine

The trends of design and development of information systems have undergone a variety of ongoing phases and stages. These variations have been evolved due to brisk changes in user requirements and business needs. To meet these requirements…

Software Engineering · Computer Science 2013-04-30 Imran Sarwar Bajwa

An object type characterizes the domain space and the operations that can be invoked on an object of that type. In this paper we introduce a new property for concurrent objects, we call coverability, that aims to provide precise guarantees…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-14 Nicolas Nicolaou , Antonio Fernández Anta , Chryssis Georgiou

Efficiency in optimisation and search processes persists to be one of the challenges, which affects the performance and use of optimisation algorithms. Utilising a pool of operators instead of a single operator to handle move operations…

Artificial Intelligence · Computer Science 2025-12-12 Mehmet Emin Aydin

Tasks and objects are two predominant ways of specifying distributed problems. A task is specified by an input/output relation, defining for each set of processes that may run concurrently, and each assignment of inputs to the processes in…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-02 Armando Castaneda , Michel Raynal , Sergio Rajsbaum

Object tracking is a fundamental tool in modern innovation, with applications in defense systems, autonomous vehicles, and biomedical research. It enables precise identification, monitoring, and spatiotemporal analysis of objects across…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Mojtaba S. Fazli , Shannon Quinn

Transfer in reinforcement learning refers to the notion that generalization should occur not only within a task but also across tasks. We propose a transfer framework for the scenario where the reward function changes between tasks but the…

Artificial Intelligence · Computer Science 2018-04-13 André Barreto , Will Dabney , Rémi Munos , Jonathan J. Hunt , Tom Schaul , Hado van Hasselt , David Silver

Object detection for robot guidance is a crucial mission for autonomous robots, which has provoked extensive attention for researchers. However, the changing view of robot movement and limited available data hinder the research in this…

Computer Vision and Pattern Recognition · Computer Science 2019-11-21 Jingwen Fu , Licheng Zong , Yinbing Li , Ke Li , Bingqian Yang , Xibei Liu

Dataflow languages provide natural support for specifying constraints between objects in dynamic applications, where programs need to react efficiently to changes of their environment. Researchers have long investigated how to take…

Programming Languages · Computer Science 2011-04-13 Camil Demetrescu , Irene Finocchi , Andrea Ribichini

Asynchronous programming has appeared as a programming style that overcomes undesired properties of concurrent programming. Typically in asynchronous models of programming, methods are posted into a post list for latter execution. The order…

Programming Languages · Computer Science 2015-01-06 Mohamed A. El-Zawawy

With the rapid development of neural architecture search (NAS), researchers found powerful network architectures for a wide range of vision tasks. However, it remains unclear if the searched architecture can transfer across different types…

Computer Vision and Pattern Recognition · Computer Science 2020-01-07 Xin Chen , Lingxi Xie , Jun Wu , Qi Tian

Modeling a structured, dynamic environment like a video game requires keeping track of the objects and their states declarative knowledge) as well as predicting how objects behave (procedural knowledge). Black-box models with a monolithic…

The paper deals with the developing of the methodological backgrounds for the modeling and simulation of complex dynamical objects. Such backgrounds allow us to perform coordinate transformation and formulate the algorithm of its usage for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-07 Roman Voliansky , Andri Pranolo

Sequential programming and work-flow programming are two useful, but radically different, ways of describing computational processing. Of the two, it is sequential programming that we teach all programmers and support by programming…

Programming Languages · Computer Science 2011-08-24 William Harrison

The rise of large language models (LLMs) has given rise to a class of prompt-based interactive systems where users primarily express their input in natural language. However, composing a prompt as a linear text string becomes unwieldy when…

Human-Computer Interaction · Computer Science 2026-04-22 Tengyou Xu , Detao Ma , Xiang 'Anthony' Chen