• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 299 matches

• 2021
• 
  Maryam Akbari-Moghaddam, Douglas G. Down:
  A near-optimal policy for single-server scheduling with estimated job sizes. CoRR abs/2101.00007 (2021)
• 2020
• 
  Neil Urquhart, Emma Hart, William Hutcheson:
  Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Autom. 68(2): 110-117 (2020)
• 
  Varun Kumar Sharma, Lal Pratap Verma, Mahesh Kumar, Ranesh Kumar Naha, Aniket Mahanti:
  A-CAFDSP: An Adaptive-Congestion Aware Fibonacci Sequence based Data Scheduling Policy. Comput. Commun. 158: 141-165 (2020)
• 
  Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia, Karl Henrik Johansson, Ling Shi:
  Learning Optimal Scheduling Policy for Remote State Estimation Under Uncertain Channel Condition. IEEE Trans. Control. Netw. Syst. 7(2): 579-591 (2020)
• 
  Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner:
  Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information. FUSION 2020: 1-6
• 
  Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
  Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks. ICASSP 2020: 8743-8747
• 
  Ali Maatouk, Saad Kriouile, Mohamad Assaad, Anthony Ephremides:
  Asymptotically Optimal Scheduling Policy For Minimizing The Age of Information. ISIT 2020: 1747-1752
• 
  Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu:
  TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. SIGIR 2020: 1917-1920
• 
  Yu Zhao, Joohyun Lee, Wei Chen:
  Q-greedyUCB: a New Exploration Policy for Adaptive and Resource-efficient Scheduling. CoRR abs/2006.05902 (2020)
• 
  Xiang Ma, Haijian Sun, Rose Qingyang Hu:
  Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC. CoRR abs/2006.13044 (2020)
• 
  Konstantinos Dovelos, Boris Bellalta:
  A Scheduling Policy for Downlink OFDMA in IEEE 802.11ax with Throughput Constraints. CoRR abs/2009.00413 (2020)
• 
  Jaeyoung Song, Deniz Gündüz, Wan Choi:
  Optimal Scheduling Policy for Minimizing Age of Information with a Relay. CoRR abs/2009.02716 (2020)
• 
  Yulin Shao, Qi Cao, Soung Chang Liew:
  Partially Observable Minimum-Age Scheduling: The Greedy Policy. CoRR abs/2009.13441 (2020)
• 2019
• 
  Geunchul Park, Seungwoo Rho, Jik-Soo Kim, Dukyun Nam:
  Towards optimal scheduling policy for heterogeneous memory architecture in many-core system. Clust. Comput. 22(1): 121-133 (2019)
• 
  Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang:
  Adaptive cache policy scheduling for big data applications on distributed tiered storage system. Concurr. Comput. Pract. Exp. 31(15) (2019)
• 
  Varun Kumar Sharma, Lal Pratap Verma, Mahesh Kumar:
  CL-ADSP: Cross-Layer Adaptive Data Scheduling Policy in Mobile Ad-hoc Networks. Future Gener. Comput. Syst. 97: 530-563 (2019)
• 
  Robert G. Drake:
  e-Roster policy: Insights and implications of codifying nurse scheduling. Health Informatics J. 25(3) (2019)
• 
  Umut Besikci, Ümit Bilge, Gündüz Ulusoy:
  Resource portfolio problem under relaxed resource dedication policy in multi-mode multi-project scheduling. Int. J. Math. Oper. Res. 14(4): 541-567 (2019)
• 
  Piyawad Kasabai, Karim Djemame, Somnuk Puangpronpitag:
  Priority-based Scheduling Policy for OpenFlow Control Plane. KSII Trans. Internet Inf. Syst. 13(2): 733-750 (2019)
• 
  Xiaogang Lin, Yong-Wu Zhou:
  Pricing policy selection for a platform providing vertically differentiated services with self-scheduling capacity. J. Oper. Res. Soc. 70(7): 1203-1218 (2019)
• 
  Yan Liu, Guoqi Xie, Xiaoming Chen, Linlin Jin, Yuqing Tang, Renfa Li:
  An active scheduling policy for automotive cyber-physical systems. J. Syst. Archit. 97: 208-218 (2019)
• 
  Simar Preet Singh, Anand Nayyar, Harpreet Kaur, Ashu Singla:
  Dynamic Task Scheduling using Balanced VM Allocation Policy for Fog Computing Platforms. Scalable Comput. Pract. Exp. 20(2): 433-456 (2019)
• 
  Kehao Wang, Jihong Yu, Lin Chen, Pan Zhou, Xiaohu Ge, Moe Z. Win:
  Opportunistic Scheduling Revisited Using Restless Bandits: Indexability and Index Policy. IEEE Trans. Wirel. Commun. 18(10): 4997-5010 (2019)
• 
  Konstantin Avrachenkov, Vivek S. Borkar:
  A learning algorithm for the Whittle index policy for scheduling web crawlers. Allerton 2019: 1001-1006
• 
  Shihao Dai, Feng Gao, Kun Liu, Lei Yang:
  A Time-domain Decoupling Policy for Multi-stage Robust Scheduling in a Corporate Energy System with V2G^*. CASE 2019: 972-978
• 
  Luis Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo:
  Real-Time Scheduling Policy Selection from Queue and Machine States. CCGRID 2019: 381-390
• 
  Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
  Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks. GLOBECOM 2019: 1-6
• 
  Sheng-Chia Tseng, Zheng-Wei Liu, Yen-Cheng Chou, Chih-Wei Huang:
  Radio Resource Scheduling for 5G NR via Deep Deterministic Policy Gradient. ICC Workshops 2019: 1-6
• 
  Saad Kriouile, Maialen Larrañaga, Mohamad Assaad:
  Whittle Index Policy for Multichannel Scheduling in Queueing Systems. ISIT 2019: 2524-2528
• 
  Saad Kriouile, Maialen Larrañaga, Mohamad Assaad:
  Whittle Index Policy for Multichannel Scheduling in Queueing Systems. CoRR abs/1902.02277 (2019)

skipping 269 more matches