Results 61 to 70 of about 38,951,336 (344)
Generative Structural Representation of Tonal Music. [PDF]
, 2005 The usefulness and desirability of representation schemes which explicitly show musical structure has often been commented upon. A particular aim of music theory and analysis has been to describe and derive musical structure, and this article discusses ...
Marsden, Alan A.
core +4 more sources
On Generalizations of the Engset Model [PDF]
IEEE Communications Letters, 2007 The Engset model has been extensively studied and widely used for blocking probability evaluation in telecommunications networks. In 1957, J.W. Cohen considered two generalizations of the Engset model: 1) permitting the distributions of the holding time and interarrival time to differ from source to source; 2) permitting the idle time distribution to ...
Eric W. M. Wong +2 more
openaire +1 more source
Modelling control in generation [PDF]
Proceedings of the Eleventh European Workshop on Natural Language Generation - ENLG '07, 2007 In this paper we present a view of natural language generation in which the control structure of the generator is clearly separated from the content decisions made during generation, allowing us to explore and compare different control strategies in a systematic way.
Roger Evans +4 more
openaire +2 more sources
A Framework for the Definiton of a Generative Design Pattern [PDF]
Conventional design patterns found in many pattern catalogues are static components of reusable design knowledge. They are fully descriptive of the problems they will solve, but the descriptive knowledge and design they provide does not describe how they
Wilson, David
core +4 more sources
Journal of Advances in Modeling Earth Systems, 2023 Subgrid parameterizations of mesoscale eddies continue to be in demand for climate simulations. These subgrid parameterizations can be powerfully designed using physics and/or data‐driven methods, with uncertainty quantification.
Pavel Perezhogin +2 more
doaj +1 more source
CoRR, 2021 Generative modeling has recently seen many exciting developments with the advent of deep generative architectures such as Variational Auto-Encoders (VAE) or Generative Adversarial Networks (GAN). The ability to draw synthetic i.i.d. observations with the same joint probability distribution as a given dataset has a wide range of applications including ...
Johan Leduc, Nicolas Grislain
openaire +2 more sources
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model [PDF]
Neural Information Processing Systems, 2020 This paper studies a central issue in modern reinforcement learning, the sample efficiency, and makes progress toward solving an idealistic scenario that assumes access to a generative model or a simulator.
Gen Li +4 more
semanticscholar +1 more source
NatureAbstract Generative models cover various application areas, including image and video synthesis, natural language processing and molecular design, among many others1–11. As digital generative models become larger, scalable inference in a fast and energy-efficient manner becomes a challenge12–14.
Shiqi Chen +4 more
openaire +5 more sources
Image-mmWave Radio Frequency Domain Translation with Generative Models
, 2023 embargoed_20261011Image-mmWave Radio Frequency Domain Translation with Generative ModelsImage-mmWave Radio Frequency Domain Translation with Generative ...
KARABULUT, BURAK
core
Inconsistency and the dilemma of intuitionistic research in generative syntax [PDF]
, 2012 The paper is a contribution to the current debate on linguistic data and evidence. It raises two questions: (a) What kinds of inconsistency do emerge in generative syntax?
Kertész, András
core +1 more source