Suchergebnisse - "algorithm configuration"

Boosting evolutionary algorithm configuration von Ansótegui, Carlos, Pon, Josep, Sellmann, Meinolf

“… Algorithm configuration has emerged as an essential technology for the improvement of high-performance solvers …”
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Improving Fast EMG Classification for Hand Gesture Recognition: A Comprehensive Analysis of Temporal, Spatial, and Algorithm Configurations for Healthy and Post-Stroke Subjects von Montecinos, Camila, Espinoza, Jessica, Zamora Zapata, Mónica, Meruane, Viviana, Fernandez, Ruben

“… Electromyography-based assistive and rehabilitation devices have shown potential for restoring mobility, especially for post-stroke patients. However, the …”
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Consistency of Renal Stone Volume Measurements Across CT Scanner Model and Reconstruction Algorithm Configurations von Huang, Alice E, Montoya, Juan C, Shiung, Maria, Leng, Shuai, McCollough, Cynthia H

“… The objective of this prospective study is to evaluate the consistency of renal stone volume estimation using dual-energy CT across scanner model and reconstruction algorithm configurations …”
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Two-stage optimization for machine learning workflow von Quemy, Alexandre

“… Building a high quality machine learning model to be deployed in production is a challenging task, from both, the subject matter experts and the machine learning practitioners …”
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Reports on the 2015 AAAI Workshop Series von Albrecht, Stefano V., Beck, J. Christopher, Buckeridge, David L., Botea, Adi, Caragea, Cornelia, Chi, Chi‐hung, Damoulas, Theodoros, Dilkina, Bistra, Eaton, Eric, Fazli, Pooyan, Ganzfried, Sam, Giles, C. Lee, Guillet, Sébastien, Holte, Robert, Hutter, Frank, Koch, Thorsten, Leonetti, Matteo, Lindauer, Marius, Machado, Marlos C., Malitsky, Yuri, Marcus, Gary, Meijer, Sebastiaan, Rossi, Francesca, Shaban‐Nejad, Arash, Thiebaux, Sylvie, Veloso, Manuela, Walsh, Toby, Wang, Can, Zhang, Jie, Zheng, Yu

“… Most workshops were held on a single day. The titles of the workshops included Algorithm Configuration …”
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MO‐G‐BRE‐03: Automated Continuous Monitoring of Patient Setup with Second‐Check Independent Image Registration von Jiang, X, Fox, T, Schreibmann, E

“… Purpose: To create a non‐supervised quality assurance program to monitor image‐based patient setup. The system acts a secondary check by independently …”
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Growing the Science of Validation and Verification for Julia Programs von Shakya, Raunak

“… results that can potentially misguide scientists. For this thesis, we conduct our empirical study on two subjects - the first is on the taxonomy of defects found in Julia programs, and the second is on fuzzing the Julia compiler …”
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Two-stage Optimization for Machine Learning Workflow von Quemy, Alexandre

“… Building a high quality machine learning model to be deployed in production is a challenging task, from both, the subject matter experts and the machine learning practitioners …”
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Activities of Daily Living-Based Rehabilitation System for Arm and Hand Motor Function Retraining After Stroke von Song, Xinyu, Van De Ven, Shirdi Shankara, Liu, Lanlan, Wouda, Frank J., Wang, Hong, Shull, Peter B.

“… ), and inertial sensing was developed to estimate users' natural upper limb movement. Eight healthy subjects and three stroke patients were recruited in an experiment to validate the system's effectiveness …”
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Partial & Holistic Face Recognition on FRGC-II data using Support Vector Machine von Savvides, M., Abiantun, R., Heo, J., Park, S., Xie, C., Vijayakumar, B.V.K.

“… ) in Face Recognition Grand Challenge(FRGC) phase-II data which deals with subjects captured under uncontrolled conditions such as harsh overhead illumination, some pose variations and facial expressions in both indoor and outdoor environments …”
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Physical Activity Recognition From Smartphone Accelerometer Data for User Context Awareness Sensing von Wannenburg, Johan, Malekian, Reza

“… Ten different classifier algorithm configurations were evaluated to determine which performed best overall, as well as, which algorithms performed best for specific activity classes …”
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Parallelization strategies for markerless human motion capture von Cano, Alberto, Yeguas-Bolivar, Enrique, Muñoz-Salinas, Rafael, Medina-Carnicer, Rafael, Ventura, Sebastián

“… algorithm’s configurations were tested to analyze the best trade-off with regard to the accuracy and computing time …”
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