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数学计算 【书名】非线性时间序列分析 【原 书 名】 Nonlinear Time Series Analysis 【原出版社】 Cambridge University Press 【作 者】Holge
【书名】非线性时间序列分析
【原 书 名】 Nonlinear Time Series Analysis
【原出版社】 Cambridge University Press
【作 者】Holger Kantz,Thomas Schreiber [同作者作品]
【丛 书 名】 剑桥非线性科学系列
【出 版 社】 清华大学出版社
【书 号】 7302039062
【出版日期】 2001 年3月
【开 本】 16开
【页 码】 304
【 ...
matlab例程 Signal Processing and Linear Systems,B.P. Lathi,Berkeley-Cambridge Press book matlab codes
Signal Processing and Linear Systems,B.P. Lathi,Berkeley-Cambridge Press book matlab codes
教程资料 USB接口控制器参考设计,xilinx提供VHDL代码 us
USB接口控制器参考设计,xilinx提供VHDL代码 usb xilinx vhdl
;  This program is free software; you can redistribute it and/or modify
;  it under the terms of the GNU General Public License as published by
;  the Free Software Foundation; either version 2 of the License, or
;  ...
可编程逻辑 USB接口控制器参考设计,xilinx提供VHDL代码 us
USB接口控制器参考设计,xilinx提供VHDL代码 usb xilinx vhdl
;  This program is free software; you can redistribute it and/or modify
;  it under the terms of the GNU General Public License as published by
;  the Free Software Foundation; either version 2 of the License, or
;  ...
人工智能/神经网络 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 Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, ...
matlab例程 Hidden Markov Toolkit (HTK) 3.2.1 HTK is a toolkit for use in research into automatic speech recogn
Hidden Markov Toolkit (HTK) 3.2.1
HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).
教育系统应用 学生信息管理系统 GNU通用公共许可证 第二版
学生信息管理系统
GNU通用公共许可证
第二版，1991年
版权所有（C）1989，1991 Free Software foundation, Inc. 675 Mass Ave, Cambridge, MA02139, USA 允许每个人复制和发布这一许可证原始文档的副本，但绝对不允许对它进行任何修改。
序言
大多数软件许可证决意剥夺你的共享和修改软件的自由。对比之下，GNU通用 ...
人工智能/神经网络 On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl
On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and deta ...
数学计算 This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, N ...
数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...