[PDF][PDF] 关于统计学习理论与支持向量机
张学工 - 自动化学报, 2000 - xqdoc.imedao.com
摘要模式识别, 函数拟合及概率密度估计等都属于基于数据学习的问题, 现有方法的重要基础是
传统的统计学, 前提是有足够多样本, 当样本数目有限时难以取得理想的效果. 统计学习理论(SL …
传统的统计学, 前提是有足够多样本, 当样本数目有限时难以取得理想的效果. 统计学习理论(SL …
A digital architecture for support vector machines: theory, algorithm, and FPGA implementation
In this paper, we propose a digital architecture for support vector machine (SVM) learning
and discuss its implementation on a field programmable gate array (FPGA). We analyze …
and discuss its implementation on a field programmable gate array (FPGA). We analyze …
Statistical learning theory and state of the art in SVM
X Wang, Y Zhong - The Second IEEE International Conference …, 2003 - ieeexplore.ieee.org
Statistical learning theory started more than 30 years ago. Until the middle of the 1990's, the
success of support vector machine (SVM) in solving real-life problems made it not only a tool …
success of support vector machine (SVM) in solving real-life problems made it not only a tool …
Kerneltron: support vector" machine" in silicon
R Genov, G Cauwenberghs - IEEE Transactions on Neural …, 2003 - ieeexplore.ieee.org
Detection of complex objects in streaming video poses two fundamental challenges: training
from sparse data with proper generalization across variations in the object class and the …
from sparse data with proper generalization across variations in the object class and the …
An on-chip-trainable Gaussian-kernel analog support vector machine
K Kang, T Shibata - IEEE Transactions on Circuits and Systems …, 2009 - ieeexplore.ieee.org
An analog circuit architecture of Gaussian-kernel support vector machines having on-chip
training capability has been developed. It has a scalable array processor configuration and …
training capability has been developed. It has a scalable array processor configuration and …
Fracture performance prediction of polyvinyl alcohol fiber-reinforced cementitious composites containing nano-SiO2 using least-squares support vector machine …
T Liu, P Zhang, G Cui, X Yue - Theoretical and Applied Fracture Mechanics, 2021 - Elsevier
Based on least-squares support vector machine optimized using a quantum particle swarm
optimization algorithm (QPSO-LSSVM), a prediction model was established to predict the …
optimization algorithm (QPSO-LSSVM), a prediction model was established to predict the …
Optimal alternative for quantifying reference evapotranspiration in Northern Xinjiang
P Jiao, SJ Hu - Water, 2021 - mdpi.com
Accurate estimation of reference evapotranspiration is a key step in irrigation and water
resources planning. The Penman Monteith (FAO56-PM) formula recommended by FAO56 …
resources planning. The Penman Monteith (FAO56-PM) formula recommended by FAO56 …
Analog neural network for support vector machine learning
R Perfetti, E Ricci - IEEE Transactions on Neural Networks, 2006 - ieeexplore.ieee.org
An analog neural network for support vector machine learning is proposed, based on a
partially dual formulation of the quadratic programming problem. It results in a simpler circuit …
partially dual formulation of the quadratic programming problem. It results in a simpler circuit …
Improved neural network for SVM learning
D Anguita, A Boni - IEEE Transactions on Neural Networks, 2002 - ieeexplore.ieee.org
The recurrent network of Xia et al.(1996) was proposed for solving quadratic programming
problems and was recently adapted to support vector machine (SVM) learning by Tan et …
problems and was recently adapted to support vector machine (SVM) learning by Tan et …
Bank customer churn prediction based on support vector machine: Taking a commercial bank's VIP customer churn as the example
J Zhao, XH Dang - 2008 4th International Conference on …, 2008 - ieeexplore.ieee.org
Customer churn analysis and prediction play an important role in customer relationship
management and improve benefit of enterprise. According to the bank's customer churn data …
management and improve benefit of enterprise. According to the bank's customer churn data …