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Version
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Purpose
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What is TDL?
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Definition of TDL
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Classical One-Shot Learning
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One-Shot Learning Diagram
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Multi-Shot Learning
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Learning Bias Adjustment
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Multi-Shot Learning Diagram
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Categories of Problems
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Performance Parameters
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TDL Results
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29 Function Problem
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29 Function Results
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36 Domain Data Sets I
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36 Domain Data Sets II
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36 Domain data Sets III
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36 Domain Results
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36 Domain Prediction Accuracy
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TDL Components
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Automatic Network Construction
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Example TDL Network
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Feature Pruning
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Feature Selection
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Forgetting Knowledge
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Weightless Neurons
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Weightless Neuron for 3-parity
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Semi-Weighted Networks
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Transfer Functions I
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Transfer Functions II
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Co-Evolution of Populations
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Crossover in TDL
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Example of Single Point Crossover
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Crossover Operators
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Train Set File Format
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Symbol Train File Format
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Test Set Format
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Classification Set Format
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Symbolic TDL Interface
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Definition File Format Diagram
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Definition File Example
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Categories in Definition File
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Pattern File Format
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Pattern File Format Diagram I
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Pattern File Format Diagram II
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Pattern File Example
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Help Files
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Help File Format Diagram I
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Help File Format Diagram II
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Help File Example
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Object Creation Tool
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Modifying Objects
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Rules
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Rule Quantifiers I
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Rule Example
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Rule Quantifiers II
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Rule File Format Diagram I
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Rule File Format Diagram II
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Rule File Format Diagram III
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Rule Refinement and Extraction
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Failure of Rule Refinement
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Partial Rule Recognition
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Type of Partial Rule Recognition
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Symbolic Tools
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Getting Started
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What will be Covered?
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Data Sets Used
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Creating a Network
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Train a Network
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Check Network Accuracy
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Resetting the Network
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Multi-Shot Learning Example
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Combined Trig and Iris Network
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Trans-Dimensional Learning Example
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Batch Learning
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One-Shot Batch Learning
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Multi-Shot Batch Learning
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Through the Looking Glass ...
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Expert Network
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Automatic Data Mining Agents I
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Automatic Data Mining Agents II
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How to Modify Objects I
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How to Modify Objects II
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Creating a Definition File
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Created Definition File
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Loading Definition File
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Creating Pattern File
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Example Pattern File
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Created Pattern File Example
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Converting Pattern to Train Files
p91.wmf  
Main Menu Features
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File Menu Option Features
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Network Menu Option Features
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Batch Menu Option Features
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Accuracy Menu Option Features
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Parameter Menu Option Features
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Display Menu Option Features
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Simulate Menu Option Features
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Animate Menu Option Features
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Chart Menu Option Features
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Help Menu Option Features
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Definition Menu Option
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Patterns and Rule Quantifiers
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Functions Option
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Load Help and Modify Objects Options
p106.wmf 
File Options
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Create and Train Network Options
p108.wmf 
Rule Network Options
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Load, Save, PRINT and Reset Options
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Symbol to Network Option
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History Option
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Wizard Option
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One-Shot Learning Option
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Random Testing Option 
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Iterative Random Testing Option
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Manual Multi-Shot Learning Option
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Manual Multi-Shot Learning Example
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Statistics
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Automatic Multi-Shot Learning Option
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Classifying Examples and Check Accuracy
p121.wmf 
System Parameters
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General System Parameters I
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General System Parameters II
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General System Parameters III
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Learning Rules I
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Learning Rules II
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Maximum System Parameters
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Score Threshold Parameters
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Score Threshold Example
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Forget and Semi-Weighted Parameters
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Feature Selection Parameters
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Standard Evolution Parameters
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Crossover Option Parameters
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Mutation Rates
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Co-Evolution Parameters
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Setup Parameters
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Network Resources Parameters
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Network Resources Statistics
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Memory Management Parameters
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Network Dependency Parameters
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Unit Info and Display Options
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Set Layer Range and Reset Options
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Simulate Menu
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Animate Menu
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Chart Menu
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Help Menu Options
