GPU ACCELERATION FOR SUPPORT VECTOR MACHINES ... GPU ACCELERATION FOR SUPPORT VECTOR MACHINES. Andreas Athanasopoulos, Anastasios Dimou, Vasileios Mezaris, Ioannis Kompatsiaris. Informatics ...
GPU accelerated support vector machines for mining high ... J Chem Inf Model. 2009 Dec;49(12):2718-25. doi: 10.1021/ci900337f. GPU accelerated support vector machines for mining high-throughput screening data.
GPU Accelerated Support Vector Machines for Mining High ... 2009年12月4日 - Support Vector Machine (SVM), one of the most promising tools in chemical informatics, is time-consuming for mining large high-throughput ...
GPU Accelerated Support Vector Machines for Mining High ... 2009年12月4日 - GPU Accelerated Support Vector Machines for Mining High-Throughput. Screening Data. Quan Liao,† Jibo Wang,‡ Yue Webster,‡ and Ian A.
Fast Support Vector Machine Training and Classification on ... 2008年2月8日 - Keywords: Support Vector Machines, Sequential Minimal Optimization, Graphics Processing ... tural and programming features of the GPU.
Fast Support Vector Machine Training and Classification on ... implementations of machine learning algo- rithms. We describe a solver for Support. Vector Machine training running on a GPU, using the Sequential Minimal ...
cuSVM: A CUDA Support Vector Machine Implementation A CUDA Implementation of Support Vector Classification and Regression ... exploits the massively parallel processing power of Graphics Processors (GPUs).
GPU accelerated support vector machines for ... - ResearchGate ABSTRACT Support Vector Machine (SVM), one of the most promising tools in chemical informatics, is time-consuming for mining large high-throughput ...
CUDA/README.md at master · MKLab-ITI/CUDA · GitHub A. Athanasopoulos, A. Dimou, V. Mezaris, I. Kompatsiaris, "GPU Acceleration for Support Vector Machines", Proc. 12th International Workshop on Image ...
Performance Comparison of GPU and FPGA architectures - Imperial ... the acceleration of this phase and a geometric approach to SVM training based on ... the ease of parallel programmability for GPUs and has been the major step ...
