Advanced handoff control using fuzzy Inference for indoor radio system.rar
標簽： Inference Advanced handoff control
上傳時間： 2014-01-20
上傳用戶：米卡
機器學習經典書籍The Elements of Statistical Learning--Data Mining, Inference and Prediction. 作者：Friedman
標簽： Statistical Prediction Inference Elements
上傳時間： 2014-12-03
上傳用戶：奇奇奔奔
Parallel Inference Machine Design Topics，并行推理機設計論題
標簽： Inference Parallel Machine Design
上傳時間： 2014-01-12
上傳用戶：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.
標簽： Matlab-interfaces Inference interface the
上傳時間： 2016-08-27
上傳用戶：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.
標簽： probabilistic distributed large-scale dynamical
上傳時間： 2014-01-12
上傳用戶：wangdean1101
this is the doc related to the Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures
標簽： Inference Dirichlet the Bayesian
上傳時間： 2013-12-09
上傳用戶：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
標簽： fuzzy development implements PIC-based
上傳時間： 2014-01-18
上傳用戶：caozhizhi
Stand-alone C codes for fuzzy Inference systems.
標簽： Stand-alone Inference systems codes
上傳時間： 2013-12-16
上傳用戶：ippler8
機器學習大牛Jordan的書籍《Graphical Models,Exponential Families,and Variational Inference》
標簽： Exponential Variational Graphical Inference
上傳時間： 2013-12-09
上傳用戶：sssl
Information theory, Inference and learning algorithms
標簽： 編碼
上傳時間： 2016-04-12
上傳用戶：baiyouren
