statistical
共 70 篇文章
statistical 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 70 篇文章，持续更新中。
最新的支持向量机工具箱
最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Natur
Simulation Modeling,Discrete Event Simulation,Statistical Analysis of Simulation Models
Simulation Modeling,Discrete Event Simulation,Statistical Analysis of Simulation Models
常用ROBUST STATISTICAL
常用ROBUST STATISTICAL
A Handbook of Statistical Analyses using R
A Handbook of Statistical Analyses using R
"Foundations of Statistical Natural Language Processing", wrote by Christopher D. Manning & Hinrich
"Foundations of Statistical Natural Language Processing", wrote by Christopher D. Manning & Hinrich Schütze.一本极为经典的国外教材。
This package implements a Kalman filter as described in the paper "A Statistical Algorithm for Esti
This package implements a Kalman filter as described in the
paper "A Statistical Algorithm for Estimating Speed from Single Loop
Volume and Occupancy Measurements" by D. J. Dailey.
Introduction to Statistical and Adaptive Signal Processing – Random Signals – Spectral Estimation
Introduction to Statistical and Adaptive Signal
Processing
– Random Signals
– Spectral Estimation
– Signal Modeling
– Adaptive Filtering
• Course Overview
– Course Outline
– Textbook
–
Wavelets, Approximation and Statistical Applications
Wavelets, Approximation and
Statistical Applications
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach" by Rafał Weron, p
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach" by Rafał Weron, published by John Wiley and Sons, 2006.
Rafał Weron的大作:电网系统负荷与价格预测与建模:一种统计方法的源码
模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recog
模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic m