Results 251 to 260 of about 26,598,097 (313)

Models and Modelling in Computer Science

2021
Models are a universal instrument of mankind. They surround us our whole lifespan and support all activities even in case we are not aware of the omnipresence. They are so omnipresent that we don’t realise their importance. Computer Science is also heavily using models as companion in most activities.
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The Turing Computational Model

ACM Turing Centenary Celebration on - ACM-TURING '12, 2012
The panel presentations will discuss the beauty and simplicity of the Turing machine formulation of the previously elusive concept of computability and the intuitively satisfying explanation of the power and limitations of computability. They will also review how the Turing machine model provided simple proofs of deep results in logic, including Godel ...
Juris Hartmanis, Stephen Cook, William Kahan, Richard Edwin Stearns, Andrew C. Yao   +4 more
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A Computational Model of Afterimages

Computer Graphics Forum, 2012
AbstractAfterimages are optical illusions, particularly well perceived when fixating an image for an extended period of time and then looking at a neutral background, where an inverted copy of the original stimulus appears. The full mechanism that produces the perceived specific colors and shapes is complex and not entirely understood, but most of the ...
Ritschel, T., Eisemann, E.
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A computer model of conversation

ACM SIGART Bulletin, 1977
This project is concerned with the modelling of language use in a conversation. The aim is to develop techniques for making a machine a more helpful conversant. We are examining problems that have essentially been ignored in current AI natural language research.
James F. Allen, Philip R. Cohen, Robin Cohen, C. Raymond Perrault, Corot Reason, Mary Horrigan-Tozer   +5 more
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Computational modeling systems

Information Systems, 1995
Abstract A computational modeling system (CMS) provides scientific investigators with a unified computational environment and easy access to a broad range of modeling tools. The goal of a CMS is to provide computational support that increases the efficiency of scientists in the iterative process of modeling.
Terence R. Smith, Jianwen Su, Amr El Abbadi, Divyakant Agrawal, Gustavo Alonso, Amitabh Saran   +5 more
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Computational models of analogy

WIREs Cognitive Science, 2010
AbstractAnalogical mapping is a core process in human cognition. A number of valuable computational models of analogy have been created, capturing aspects of how people compare representations, retrieve potential analogs from memory, and learn from the results.
Dedre, Gentner, Kenneth D, Forbus
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A computational model of teaching

Proceedings of the fifth annual workshop on Computational learning theory, 1992
Goldman and Kearns [GK91] recently introduced a notion of the teaching dimension of a concept class. The teaching dimension is intended to capture the combinatorial difficulty of teaching a concept class. We present a computational analog which allows us to make statements about bounded-complexity teachers and learners, and we extend the model by ...
Jeffrey C. Jackson, Andrew Tomkins
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Statistics and computing, 2015
Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction accuracy from a fitted Bayesian model using the log-likelihood evaluated at the posterior ...
Aki Vehtari, A. Gelman, J. Gabry
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Computational Models of Hallucinations

2012
Recent advances in theoretical neuroscience have provided new insights into information processing within large brain-like networks operating in an uncertain world. The computational framework can overcome some of the complexity within the object of study by predicting how basic changes in neural architecture may lead to systems-level changes that ...
Jardri, Renaud, Denève, Sophie
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Computability and Computable Models

2007
The intuitive notion of computability was formalized in the XXth century, which strongly affected the development of mathematics and applications, new computational technologies, various aspects of the theory of knowledge, etc. A rigorous mathematical definition of computability and algorithm generated new approaches to understanding a solution to a ...
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