Публикации с тэгом "Neural network"

СТАТЬЯ Introduction to Data Mining and Knowledge Discovery

Content: Introduction Data mining: In brief Data mining: What it can’t do Data mining and data warehousing Data mining and OLAP Data mining, machine learning and statistics Data mining and hardware/software trends Data mining applications Successful data mining Data Description for Data Mining Summaries and visualization Clustering Link analysis Predictive Data Mining A hierarchy of choices Some terminology Classification Regression Time series Data Mining Models and Algorithms Neural networks D...

СТАТЬЯ Лекции по Data Mining от Массачусетского технологического института

18 лекций по Data Mining от Массачусетского технологического института в pdf формате (на английском). Content: Data Mining Overview Prediction and Classification with k-Nearest Neighbors Example 1: Riding Mowers Classification and Bayes Rule, Naïve Bayes Classification Trees Discriminant Analysis Example 2: Fisher's Iris data Logistic Regression Case Handlooms Neural Nets Discussion of homework - see Problem 1 in assignments section Multiple Regression Review Multiple Linear Regression in Data M...

СТАТЬЯ Self Organizing Map (SOM)

Self-Organizing Map Overview A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network that is trained using unsupervised learning to produce a low-dimensional (typically two dimensional), discretized representation of the input space of the training samples, called a map. Self-organizing maps are different than other artificial neural networks in the sense that they use a neighborhood function to preserve the topological properties of the input spa...