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Evaluation of an interactive-batch system network
1972
IBM Systems Journal
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Evaluation of an interactive-batch system network
network linkages
by W. S. ...
Another type of fault— though not strictly an I/O error —occurs when the batch system interrupts the transmission of a data set from the interactive to the batch system. ...
doi:10.1147/sj.111.0002
fatcat:c6dejt2sfndpxg2quu4yki7zwi
Page 32 of Computer Performance Vol. 3, Issue 1
[page]
1982
Computer Performance
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Multiprogrammed, batch-oriented and/or interactive systems are evaluated. ...
The present paper extends the earlier optimization model of a batch-oriented system?! to the case of an interactive computer system. ...
Performance model of interactive video-on-demand systems
1996
IEEE Journal on Selected Areas in Communications
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An interactive video-on-demand (VoD) system allows users to access video services, such as movies, electronic encyclopedia, interactive games, and educational videos from video servers on a broadband network ...
In particular, a user activity model is developed to describe the usage of system resources, i.e., network bandwidth and video server usage, by a user as it interacts with the service. ...
Queueing model of an interactive VoD system. ...
doi:10.1109/49.508281
fatcat:ipctbf63m5bqbjg6vcn3jnt56m
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning
[article]
2021
arXiv
pre-print
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In this project, we are interested in building a CTR predictor using Graph Neural Networks complemented by an online learning algorithm that models such dynamic interactions. ...
By framing the problem as a binary classification task, we have evaluated this system both on the offline models (GNN, Deep Factorization Machines) with test-AUC of 0.7417 and on the online learning model ...
In order to de-bias the system towards the low-or high-order feature interactions, DeepFM proposes an end-to-end learning model that emphasizes on both low-and high order feature interactions. ...
arXiv:2105.03811v1
fatcat:2hj4rttexbaqhh76m5qbkqao4u
Next Generation Repositories: Scaling Up Repositories To A Global Knowledge Commons
2018
Zenodo
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The Next Generation Repositories offers an alternative vision, "to position repositories as the foundation for a distributed, globally networked infrastructure for scholarly communication, on top of which ...
An important component of this vision is that repositories will provide access to a wide variety of research outputs, creating the conditions whereby a greater diversity of contributions to the scholarly ...
Research
workflows
and lifecycle
Annotation
Commenting
Social
interaction
Research
evaluation
Peer review ...
doi:10.5281/zenodo.1298416
fatcat:bxdn3vpnarg2xdeygfgzvbb6om
Extensions to LwM2M for Intermittent Connectivity and Improved Efficiency
2018
2018 IEEE Conference on Standards for Communications and Networking (CSCN)
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These efforts resulted in several networking standards and protocols which have led to the emergence of the Internet of Things (IoT). ...
The Notify Object enables the creation of reverse interaction models and Readyto-Receive (RTR) functionality, which allows LwM2M clients to send periodic updates of resources without any need for a request ...
ACKNOWLEDGMENT Part of this research was funded by the Flemish FWO SBO S004017N IDEAL-IoT (Intelligent DEnse And Longe range IoT networks) project, and by the ICON project MAGICIaN. ...
doi:10.1109/cscn.2018.8581821
dblp:conf/cscn/KaraagacVRMPH18
fatcat:qnq3pl6olnhtfcuya3hqnsgd24
Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction
[article]
2019
arXiv
pre-print
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We suggest the use of human-to-human dyadic interaction datasets as a batch of trajectories to train an agent for engaging interactions. ...
Therefore, we introduce deep Q-network (DQN) in a batch reinforcement learning framework, where an optimal policy is learned from a batch data collected using a more controlled policy. ...
An immediate extension of this work is to perform subjective evaluations with human participants. ...
arXiv:1908.01618v1
fatcat:tcwairlrvjc6zm72cr4vuqxnei
Multicast Video-on-Demand services
2002
Computer communication review
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Interactivity: The system should provide the clients full control of the requested video by using VCR-like interactive functions. ...
However, there are many problems to overcome before development of multicast VoD systems. This paper critically evaluates and discusses the recent progress in developing multicast VoD systems. ...
Evaluation of multicast VoD systems By batching multiple requests and serving them with a single multicast, the system capability for handling a large number of requests can be greatly improved at the ...
doi:10.1145/510726.510729
fatcat:6rqftq5zg5aytg6byeayvwssju
Page 158 of Journal of Research and Practice in Information Technology Vol. 13, Issue 4
[page]
1981
Journal of Research and Practice in Information Technology
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INQUIRE
10F MANAGE/QUERY MINES
MARK IV
NIPS/FFS
NUL
QUERY/3000 QUERY-BY-EX AMPLE RAMIS RENDEZVOUS
RIQS
SEQUEL
SQUARE
SQUIRAL
SYSTEM 2000
interactive interactive
both both
both batch only
interactive both ...
CARTER, A.J.T. (1975): Evaluation of data base management soft- ware, /nfotech state of the art report on Data Base Systems, Infotech, Maidenhead, England. ...
Using Movie Genres in Neural Network Based Collaborative Filtering Movie Recommendation System to Reduce Cold Start Problem
2022
International Journal of Emerging Technology and Advanced Engineering
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This research proposes a modified version of the Neural Collaborative Filtering model that has revolutionized collaborative filtering recommendation system with its implementation of neural network in ...
Keywords— movie recommendation system, cold start problem, collaborative filtering, NCFM, neural network based recommendation system ...
INTRODUCTION Recommendation system has become an important and significant part of any businesses/services that has direct interaction with their consumers. ...
doi:10.46338/ijetae0322_08
fatcat:doq43m5o75ar3gqfsyzr7ddria
Resource allocation for remote desktop sessions in Utility Grids
2006
Concurrency and Computation
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The proposed service is built in the context of interactive remote desktop session workloads and takes application performance QoS models into consideration. ...
System management services deployed in the middleware are a key to enabling this vision. Utility Grids provide a challenge in terms of scale, dynamism, and heterogeneity of resources and workloads. ...
Experiments and Results We have performed experiments to evaluate the trade off of throughput and wait time for a mixed workload consisting of batch and interactive session workload. ...
doi:10.1002/cpe.973
fatcat:hit7a2cikfadjj2rr3qmulnrym
Efficient sessions
2013
Science of Computer Programming
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By capturing distributed interaction as a series of typed interactions, MPSTs allow for the static verification of compliance of corresponding distributed object programs. ...
Detailed experimental evaluation of our distributed runtime infrastructure in both Emulab and Amazon's Elastic Compute Cloud (EC2) illustrate benefits of our composable enhancement strategies. ...
We would also like to thank the authors of SessionJ [13] for making their software publicly available. SessionJ served as the basis of our compiler and runtime system. ...
doi:10.1016/j.scico.2012.03.004
fatcat:thjbpxhmkvhrrex5auryrq552i
From perception to action using observed actions to learn gestures
2020
User modeling and user-adapted interaction
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The user can either train the system directly by showing gestures examples and perform an action, or let the system learn by itself. To evaluate the system, five experiments are carried out. ...
Pervasive computing environments deliver a multitude of possibilities for humancomputer interactions. ...
Acknowledgements Work of the authors is supported by the Institutional Strategy of the University of Tübingen (Deutsche Forschungsgemeinschaft, ZUK 63). ...
doi:10.1007/s11257-020-09275-3
fatcat:usf23v6igbbzhedryn4myrdygy
Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction
2019
Interspeech 2019
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We suggest the use of humanto-human dyadic interaction datasets as a batch of trajectories to train an agent for engaging interactions. ...
Therefore, we introduce deep Qnetwork (DQN) in a batch reinforcement learning framework, where an optimal policy is learned from a batch data collected using a more controlled policy. ...
An immediate extension of this work is to perform subjective evaluations with human participants. ...
doi:10.21437/interspeech.2019-2521
dblp:conf/interspeech/HussainESY19
fatcat:kvjlh655a5a3nllbc5wexgsg7y
An agent based control system for a model factory
[chapter]
1998
Advances in Production Management Systems
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The objective of this paper is to present the design of an agent based system for a specific model factory. ...
A manufacturing system can be seen as a collection of autonomous, problem solving agents which interact when they have interdependencies. ...
The drawback of a broadcast to an stations is that an overload of message exchanges may paralyse the system. ...
doi:10.1007/978-0-387-35304-3_10
fatcat:mkwivwtd2nfp7nl3xfdeez7rni
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