Advanced handoff control using fuzzy Inference for indoor radio system.rar
标签： Inference Advanced handoff control
上传时间： 2014-01-20
上传用户：米卡
机器学习经典书籍The Elements of Statistical Learning--Data Mining, Inference and Prediction. 作者：Friedman
标签： Statistical Prediction Inference Elements
上传时间： 2014-12-03
上传用户：奇奇奔奔
Parallel Inference Machine Design Topics，并行推理机设计论题
标签： Inference Parallel Machine Design
上传时间： 2014-01-12
上传用户：gundan
The package includes 3 Matlab-interfaces to the c-code: 1. Inference.m An interface to the full Inference package, includes several methods for approximate Inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help Inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the Inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for Inference. Use "help simulatedAnnealing" from Matlab.
标签： Matlab-interfaces Inference interface the
上传时间： 2016-08-27
上传用户：gxrui1991
dysii is a C++ library for distributed probabilistic Inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
标签： probabilistic distributed large-scale dynamical
上传时间： 2014-01-12
上传用户：wangdean1101
this is the doc related to the Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures
标签： Inference Dirichlet the Bayesian
上传时间： 2013-12-09
上传用户：aappkkee
This program implements a PIC-based fuzzy Inference engine for the Fudge fuzzy development system from Motorola. It works by taking the output from Fudge for the 68HC11 processor, and converting it to a MPASM compatible assembler file using the convert batch file. This file can then be incorporated with fuzzy.asm to create a fuzzy Inference engine. Tool chain ---------- FUDGE -> Fuzzy Rules -> MC68HC11.ASM -> CONVERT.BAT -> RULES.ASM -> MPASM FUZZY.ASM -> INTEL HEX Fuzzy input registers --------------------- current_ins 1..8 x 8-bit raw inputs Fuzzy Inference function ------------------------ FuzzyEngine Fuzzy output registers ---------------------- cog_outs 1..8 x 8-bit raw outputs
标签： fuzzy development implements PIC-based
上传时间： 2014-01-18
上传用户：caozhizhi
Stand-alone C codes for fuzzy Inference systems.
标签： Stand-alone Inference systems codes
上传时间： 2013-12-16
上传用户：ippler8
机器学习大牛Jordan的书籍《Graphical Models,Exponential Families,and Variational Inference》
标签： Exponential Variational Graphical Inference
上传时间： 2013-12-09
上传用户：sssl
Information theory, Inference and learning algorithms
标签： 编码
上传时间： 2016-04-12
上传用户：baiyouren
