ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University).
标签： Matlabtoolkit facilitate sequential functions
上传时间： 2015-08-31
上传用户：皇族传媒
gibbs，beyesian network，intelligent inference, Markov, BeliefPropagation. It is a very good surce code for intelligent reasoning research
标签： gibbs
上传时间： 2014-01-15
上传用户：372825274
2005 Center for Biological & Computational Learning at MIT and MIT All rights reserved. Permission to copy and modify this data, software, and its documentation only for internal research use in your organization is hereby granted, provided that this notice is retained thereon and on all copies. This data and software should not be distributed to anyone outside of your organization without explicit written authorization by the author(s) and MIT.
标签： Computational Biological MIT Permissio
上传时间： 2014-01-27
上传用户：gaome
there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox,Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators
标签： Recognition Character Programs released
上传时间： 2015-09-17
上传用户：CHINA526
penMesh is a generic and efficient data structure for representing and manipulating polygonal meshes. OpenMesh is developed at the Computer Graphics Group, RWTH Aachen , as part of the OpenSGPlus project, is funded by the German Ministry for Research and Education ( BMBF), and will serve as geometry kernel upon which the so-called high level primitives (e.g. subdivision surfaces or progressive meshes) of OpenSGPlus are built. It was designed with the following goals in mind : Flexibility : provide a basis for many different algorithms without the need for adaptation. Efficiency : maximize time efficiency while keeping memory usage as low as possible. Ease of use : wrap complex internal structure in an easy-to-use interface.
标签： manipulating representing and efficient
上传时间： 2015-10-14
上传用户：米卡
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
标签： Introduction Classifiers Algorithms introduces
上传时间： 2015-10-20
上传用户：aeiouetla
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.
标签： R.E. discrete-dat describing published
上传时间： 2015-10-22
上传用户：2404
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.
标签： R.E. discretedata describing published
上传时间： 2015-10-22
上传用户：a673761058
一份计算机网络报告2，含一些常用网络命令，A report of two computer networks，Containing some of the commonly used network order.
上传时间： 2014-01-04
上传用户：lunshaomo
％WAVETEST Example Matlab script for WAVELET, using NINO3 SST dataset ％ ％ See "http://paos.colorado.edu/research/wavelets/" ％ Written January 1998 by C. Torrence ％ ％ Modified Oct 1999, changed Global Wavelet Spectrum (GWS) to be sideways, ％ changed all "log" to "log2", changed logarithmic axis on GWS to ％ a normal axis.
标签： WAVETEST colorado Example WAVELET
上传时间： 2014-01-06
上传用户：hullow
