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inference.tar
- gibbs，beyesian network，intelligent inference, Markov, BeliefPropagation. It is a very good surce code for intelligent reasoning research-gibbs, beyesian network, intelligent inference, Markov, BeliefPropagation. It is a very good surce code for int
inference
- C#.NET 简单推理机程序 人工智能课程作业 将已知条件及结论存入数据库 再次输入各种条件组合时程序会将直接、间接推理结果存入经验数据库表并显示出来 实现简单的学习能力 包含作业PPT及程序截图 -C#. NET is simple artificial intelligence inference engine program course work and conclusions will be stored in the database of known conditions
gasanfis
- 使用自适应神经模糊推理系统的方法预测时间序列-The use of Adaptive Neuro-Fuzzy Inference System for Prediction of Time Series
Fuzzyinference
- 用于模糊推理系统的开发，可以自动生成建立模糊推理系统-Fuzzy Inference System for the development, can be automatically generated to establish fuzzy inference system
AFuzzyAdaptiveTrackingAlgorithmBasedonCurrentStati
- 基于“当前”统计模型的模糊自适应跟踪算法 我存的一篇论文，拿来与大家共享-Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets.So it may be difficult to meet all maneuvering conditions.The Fuzzy inference combined with Current stati
smile_1_1_windows_vc9
- Inference program of Bayesian network -Inference program of Bayesian network
mathematicalstatistics
- "This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides concepts and results in measure-theoretic probability theory that are useful in
InferNet2.3
- Infer.NET is a .NET framework for machine learning. It provides state-of-the-art message-passing algorithms and statistical routines for performing Bayesian inference.
inference_in_hmm
- The book: Inference in Hidden Markov Models. This is the basic book about HMM. The book starts with an introductory chapter which explains, in simple terms, what an HMM is, and it contains many examples of the use of HMMs in fields ranging from bio
inference.tar
- 贝叶斯推理的代码，建议下载，极具参考意义-Bayesian inference of code, it is recommended to download, great reference value
gmm
- Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
mlr
- Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
Inference-in-TAR-Models
- 门限模型的理论建立、门限值的估计与门限的应用、拟合，以美国GDP为例-Inference in TAR Models
Global-Behaviour-Inference-using-PLSA
- This paperpresent a novel framework for inferring global behaviour patterns through modelling behaviour correlations in a wide-area scene and detecting any anomaly in behaviours occurring both locally and globally. Specifically, This paperpropose
Jena-2-Inference-support-on-Ontology
- Jena对本体推理的支持This section of the documentation describes the current support for inference available within Jena2. It includes an outline of the general inference API, together with details of the specific rule engines and configurations for RDFS and
inference-programme
- 面向对象推理机的设计,主要设计了一个面向对象的推理机-Design of inference machine using object programme tools，mainly work on design a inference machine
Inference-Methods-for-CRF
- 最新国际顶级期刊IJCV2011关于CRF条件随机 场的文章-Inference Methods for CRFs’ with Co-occurrence StatisticsIJCV2011c
ANFIS-Fuzzy-Inference-System-Using-Commands-in-M-
- Anfis-Fuzzy Logis-Adaptive Neuro-Fuzzy Inference System
Fuzzy-Inference
- 用模糊推理构造专家系统，使用matlab实现，源码-Construct an expert system using fuzzy inference, the use of Matlab to achieve, source
mysql-v5.1user-inference-in-chinese
- mysql v5.1 版本 用户手册，很实用哦-mysql user inference