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SNoW User Manual
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SNoW User Manual
Contents
List of Tables
Introduction
License terms
Installation
The SNoW Architecture
The Basic System
Basic Learning Rules
Winnow
Perceptron
Naive Bayes
Extensions to the Basic Learning Rules
True Multi-Class Classification (Constraint Classification)
Regularization
Function Approximation (Regression)
Sequential Model
Voting: The Clouds Architecture
Threshold-Relative Updating
Prediction
Using SNoW
Execution Modes
Command line usage
Mode Selection
Command Line Parameters
File Formats
Example Files
The Sequential Model
Interactive Mode
Example
Network Files
Error Files
Tutorial
Training
Testing
Server
Interactive Mode
Other Options
Command-Line Parameter Index
Glossary of Terms
Bibliography
About this document ...
Cognitive Computations 2004-08-20