An Introduction to Complex Networks

An Introduction to Inference and Learning in Bayesian Networks

Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...

Introduction to Complex Networks

We present here an introduction to the ideas and models that physicist developed in order to describe the graph or network structure in a variety of different systems. Firstly we give a very basic list of definition that can be of some help in approaching this field. After that we present a brief review of the state of art for the models.

An Introduction to Sociolinguistics

An introduction to neural networks An introduction to neural networks

ترجمه و تحقیق کتاب an introduction to the history of mysticism

پایان نامه ی ارائه شده ترجمه ی کتاب «an introduction to the history of mysticism» نوشته ی مارگارت اسمیت که وی پژوهشگر، خاورشناس و محقق برجسته ی تصوف و عرفان می باشد. موضوع اساسی و مهم این کتاب عرفان در ادیان مختلف است. نویسنده در ابتدا این کلمه را ریشه یابی کرده و سپس تعریفی از آن ارائه داده و آن را در ادیان مختلف مورد بحث قرار داده است و در هر فصل کتاب به معرفی عرفای آن دین یا عصر خاصی پرداخته...