Evolution by adapting surrogates by Ong, Yew Soon, Le, Minh Nghia, Menzel, Stefan, Jin, Yaochu, Sendhoff, Bernhard

“…Further, in contrast to the common use of fitness prediction error as a criterion for the selection of surrogates, the concept of evolvability to indicate the productivity or suitability of an approximation methodology that brings about fitness improvement in the evolutionary search is introduced as the basis for adaptation. The backbone of the proposed EvoLS is a statistical learning scheme to determine the evolvability of each approximation methodology while the search progresses online. …”
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Content on demand video adaptation based on MPEG-21 digital item adaptation by Jin, Jesse S., Xu, Min, He, Xiangjian, Peng, Yu, Luo, Suhuai, Chia, Clement Liang-Tien, Hu, Yusuo

“…Then, to achieve a generic adaptation solution, the adaptation is developed following MPEG-21 Digital Item Adaptation (DIA) framework. …”
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Adaptable Container Terminal Simulator (ACTS) by Toh, Ah Cheong.

“…This tri-party collaboration aims to showcase the capability of the ACTS tool, through a real-life example. The ACTS (Adaptable Container Terminal Simulator) tool developed by NTU and MPA was used to construct ACTS-JPPL, a customized container terminal simulation model for JPPL. …”
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Adaptive discriminant learning for face recognition by Kan, Meina, Shan, Shiguang, Su, Yu, Xu, Dong, Chen, Xilin

“…To address this problem, we propose Adaptive Discriminant Analysis (ADA) in which the within-class scatter matrix of each enrolled subject is inferred using his/her single sample, by leveraging a generic set with multiple samples per person. …”
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Adaptive CGF for pilots training in air combat simulation by Teng, Teck-Hou, Tan, Ah-Hwee, Ong, Wee-Sze, Lee, Kien-Lip

“…Driven by a family of self-organizing neural network, the adaptive CGF can be inserted with the same doctrine as the non-adaptive CGF. …”
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Adaptive computer-generated forces for simulator-based training by Teng, Teck-Hou, Tan, Ah-Hwee, Teow, Loo-Nin

“…The transition from doctrine-driven computer-generated forces (CGF) to adaptive CGF represents one such effort. The use of doctrine-driven CGF is fraught with challenges such as modeling of complex expert knowledge and adapting to the trainees’ progress in real time. …”
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Adaptive data refinement for parallel dynamic programming applications by Tang, Shanjiang, Yu, Ce, Lee, Bu-Sung, Sun, Chao, Sun, Jizhou

“…However, researchers take into account their load balancing strategies primarily from the aspect of scheduling and allocation policy, while the partitioning approach is roughly considered. In this paper, an adaptive data refinement scheme is proposed. It is based on our previous work of DAG Data Driven Model. …”
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A coverage-based adaptive preamble broadcasting protocol for WSNs by Kumar, Arun., Wong, Kai-Juan.

“…In this paper, we propose a Coverage-based Adaptive Preamble Broadcasting (CAPB) Protocol, which utilizes the MAC layer preamble sending property before the data packet, counter-based approach with the area-based schemes in order to exploit the maximum advantage of these approaches. …”
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Adaptive behavior of evolutionary neurocontroller for obstacle avoidance mobile robot by Gani, Aloysius Aldo, Tan, Sofyan, Meiliayana

“…This research aims to analyze the adaptive behavior of an artificial neural network-based controller (neurocontroller) for an obstacle avoidance wheeled mobile robot. …”
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Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling by Liu, Xiaopei, Pang, Wai-Man, Qin, Jing, Fu, Chi-Wing

“…This paper presents a novel approach to simulating turbulent flows by developing an adaptive multirelaxation scheme in the framework of lattice Boltzmann equation (LBE). …”
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Adaptive load balancing algorithm for multiple homing mobile nodes by Zhong, Feng, Yeo, Chai Kiat, Lee, Bu-Sung

“…To better exploit multipath scheduling for TCP flows, this paper presents a new scheduling algorithm named Adaptive Load Balancing Algorithm (ALBAM) to split traffic across multiple wireless links within the ISP infrastructure. …”
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Stable adaptive work-stealing for concurrent many-core runtime systems by Cao, Yangjie, Sun, Hongyang, Qian, Depei, Wu, Weiguo

“…In this paper, we study feedback-driven adaptive scheduling based on work stealing, which provides an efficient solution for concurrently executing a set of applications on many-core systems. …”
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Gemini: An Adaptive Performance-Fairness Scheduler for Data-Intensive Cluster Computing by Niu, Zhaojie, Tang, Shanjiang, He, Bingsheng

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Cluster-based adaptive multispectrum sensing and access in cognitive radio networks by Zhang, Wenjie, Yeo, Chai Kiat

“…We propose a cluster-based adaptive multispectrum sensing and access strategy, in which the secondary users seeking to access the channel can select a set of channels to sense and access with adaptive sensing time. …”
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Batch mode adaptive multiple instance learning for computer vision tasks by Li, Wen, Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong

“…In this paper, we propose a novel batch mode framework, namely Batch mode Adaptive Multiple Instance Learning (BAMIL), to accelerate the instance-level MIL methods. …”
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EEG data space adaptation to reduce intersession nonstationarity in brain-computer interface by Arvaneh, Mahnaz, Guan, Cuntai, Ang, Kai Keng, Quek, Chai

“…To address this issue, this letter proposes a novel data space adaptation technique, EEG data space adaptation (EEG-DSA), to linearly transform the EEG data from the target space (evaluation session), such that the distribution difference to the source space (training session) is minimized. …”
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Adaptive power management for wireless base stations in a smart grid environment by Niyato, Dusit, Lu, Xiao, Wang, Ping

“…More specifically, we focus on adaptive power management for a wireless base station under various uncertainties, including renewable power generation, power price, and wireless traffic load. …”
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Adaptive processing of data structures for image content classification, indexing and retrieval of flowers by Cho, David Siu Yeung.

“…One of the most popular frameworks for the adaptive processing of data structures to date, was proposed by Frasconi et al., who used a Backpropagation Through Structures (BPTS) algorithm to carry out supervised learning. …”
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Regenerated phase-shifted sinusoids assisted EMD for adaptive analysis of fringe patterns by Wang, Chenxing, Qian, Kemao, Da, Feipeng

“…The former avoids the mode-mixing problem appearing during the decomposition, while the latter adaptively classifies the decomposition results to remove the noise and background. …”
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A grid-based virtual reactor : parallel performance and adaptive load balancing by Korkhov, Vladimir V., Krzhizhanovskaya, Valeria V., Sloot, Peter M. A.

“…We introduce a generic technique for adaptive load balancing of parallel applications on heterogeneous resources and evaluate it using a case study application: a Virtual Reactor for simulation of plasma chemical vapour deposition. …”
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