Structure Learning of Conditional Trees
نویسنده
چکیده
منابع مشابه
Learning Bayesian Network Structure using Markov Blanket in K2 Algorithm
A Bayesian network is a graphical model that represents a set of random variables and their causal relationship via a Directed Acyclic Graph (DAG). There are basically two methods used for learning Bayesian network: parameter-learning and structure-learning. One of the most effective structure-learning methods is K2 algorithm. Because the performance of the K2 algorithm depends on node...
متن کاملAn 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...
متن کاملPossibilistic Networks with Local Structure
A recent topic in probabilistic network learning is to exploit local network structure, i.e. to capture regularities in the conditional probability distributions, and to learn networks with local structure from data. In this paper we apply this idea to possibilistic networks, i.e. we try to capture regularities in conditional possibility distributions, and present a modification of the learning...
متن کاملLearning Näıve Bayes Tree for Conditional Probability Estimation
Näıve Bayes Tree uses decision tree as the general structure and deploys näıve Bayesian classifiers at leaves. The intuition is that näıve Bayesian classifiers work better than decision trees when the sample data set is small. Therefore, after several attribute splits when constructing a decision tree, it is better to use näıve Bayesian classifiers at the leaves than to continue splitting the a...
متن کاملThe Effect of Using Mobile apps on the Acquisition of Conditional Sentences among Iranian Intermediate EFL Learners
Nowadays, there has been an increasing interest in the integration of technology in pedagogical purposes. This study was an attempt to delve in to the impact of a mobile application (Cushy Grammar) on the learning of conditional sentences (type1, 2 and 3) among Iranian intermediate EFL learners in Rooyesh institute in Isfahan. To this end, a group of 75 intermediate EFL learners were non-random...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006