Introduction
Licensing
What's new in SMILE 2
Compiler and linker options
Visual C++
gcc and clang
Hello, SMILE!
Success/Forecast model
The program
hello.cpp
VentureBN.xdsl
Using SMILE
Main header file
Error handling
Multithreading
Unicode support
Naming conventions and identifiers
Arrays
Networks, nodes and arcs
Network
Nodes
Arcs
Anatomy of a node
Multidimensional arrays
Node definition
Node value & evidence
Other node attributes
Discrete Bayesian networks
CPT nodes
Canonical nodes
Noisy-MAX
Noisy-Adder
Discrete deterministic nodes
Discrete nodes and numeric domains
Outcome intervals
Outcome point values
Qualitative models
Influence diagrams
Dynamic Bayesian networks
Unrolling
Temporal definitions
Temporal evidence
Temporal beliefs
Continuous models
Equation-based nodes
Continuous inference
Hybrid models
Input and output
Inference
User properties
Cases
Diagnosis
Diagnostic roles
Observation cost
Diagnostic session
Sensitivity analysis
Datasets
Text file I/O
Discrete and continuous variables
Generating data from a network
Discretization
Learning
Learning network structure
Learning network parameters
Validation
Tutorials
main.cpp
Tutorial 1: Creating a Bayesian Network
tutorial1.cpp
Tutorial 2: Inference with a Bayesian Network
tutorial2.cpp
Tutorial 3: Exploring the contents of a model
tutorial3.cpp
Tutorial 4: Creating an Influence Diagram
tutorial4.cpp
Tutorial 5: Inference in an Influence Diagram
tutorial5.cpp
Tutorial 6: A dynamic model
tutorial6.cpp
Tutorial 7: A continuous model
tutorial7.cpp
Tutorial 8: Hybrid model
tutorial8.cpp
Tutorial 9: Structure learning
tutorial9.cpp
Reference Manual
Node types
Error codes
Arrays and matrices
DSL_stringArray
DSL_idArray
DSL_numArray
DSL_intArray
DSL_doubleArray
DSL_Dmatrix
DSL_network
DSL_node
Node definitions
DSL_nodeDef
DSL_discDef
DSL_cpt
DSL_truthTable
DSL_lazyDef
DSL_qualDef
DSL_demorgan
DSL_ciDef
DSL_noisyMAX
DSL_noisyAdder
DSL_decision
DSL_utility
DSL_mau
DSL_equation
Node values
DSL_nodeVal
DSL_discVal
DSL_beliefVector
DSL_policyValues
DSL_expectedUtility
DSL_mauExpectedUtility
DSL_equationEvaluation
DSL_userProperties
DSL_generalEquation
DSL_instanceCounts
DSL_dataset
DSL_dataGenerator
DSL_validator
DSL_progress
DSL_diagSession
DSL_sensitivity
Learning
DSL_em
DSL_bs
DSL_pc
DSL_tan
DSL_abn
DSL_nb
DSL_bkgndKnowledge
DSL_bsEvaluator
DSL_pattern
Equations
Operators
Random Number Generators
Statistical Functions
Arithmetic Functions
Combinatoric Functions
Trigonometric Functions
Hyperbolic Functions
Logical/Conditional functions
Custom Functions
Global functions
Appendix M: Matlab and SMILE
matsmile.cpp
Acknowledgments