NeuralEngine A Game Engine with embeded Machine Learning algorithms based on Gaussian Processes. |

Class Index
A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W | X | _

A
  AdaMaxSolver (NeuralEngine::MachineLearning)
  AdamSolver (NeuralEngine::MachineLearning)
  AfArma (NeuralEngine::MachineLearning)
  AfCv (NeuralEngine::MachineLearning)
  ARDKernel (NeuralEngine::MachineLearning)
  ArmijoBracketingLineSearch (NeuralEngine::MachineLearning)
  ArmijoLineSearch (NeuralEngine::MachineLearning)
  Array2 (NeuralEngine)
  Array3 (NeuralEngine)
  Array4 (NeuralEngine)

B
  BaseGradientOptimizationMethod (NeuralEngine::MachineLearning)
  BaseOptimizationMethod (NeuralEngine::MachineLearning)
  BSGPR (NeuralEngine::MachineLearning::GPModels::AEP)

C
  Color (NeuralEngine::MachineLearning)
  CommonUtil (NeuralEngine::MachineLearning)
  CompoundKernel (NeuralEngine::MachineLearning)
  ComputeModel (NeuralEngine)

D
  DeepGPBaseModel (NeuralEngine::MachineLearning::GPModels)
  DiscreteFactorNode (NeuralEngine::MachineLearning)
  DiscreteGraph (NeuralEngine::MachineLearning)
  DiscreteMessage (NeuralEngine::MachineLearning)
  DiscreteVariableNode (NeuralEngine::MachineLearning)

E
  EFStream (NeuralEngine)
  EigenvalueDecomposition (NeuralEngine::MachineLearning)
  Environment (NeuralEngine)

F
  Figure (NeuralEngine::MachineLearning)

G
  GaussEmission (NeuralEngine::MachineLearning::GPModels)
  GaussHermiteQuadrature (NeuralEngine::MachineLearning)
  GaussianMessage (NeuralEngine::MachineLearning)
  GaussLikLayer (NeuralEngine::MachineLearning::GPModels)
  GPBaseLayer (NeuralEngine::MachineLearning::GPModels)
  GPBaseModel (NeuralEngine::MachineLearning::GPModels)
  GPLVMBaseModel (NeuralEngine::MachineLearning::GPModels)
  GPNode (NeuralEngine::MachineLearning)
  GPSSBaseModel (NeuralEngine::MachineLearning::GPModels)

H
  HiddenLayerDescription (NeuralEngine::MachineLearning)
  HighGUI (NeuralEngine::MachineLearning)

I
  IBackconstraint (NeuralEngine::MachineLearning::GPModels)
  IEmbed (NeuralEngine::MachineLearning)
  IFactorNode (NeuralEngine::MachineLearning)
  IGradientOptimizationMethod (NeuralEngine::MachineLearning)
  IGraph (NeuralEngine::MachineLearning)
  IKernel (NeuralEngine::MachineLearning)
  ILayer (NeuralEngine::MachineLearning)
  ILineSearch (NeuralEngine::MachineLearning)
  IMessage (NeuralEngine::MachineLearning)
  IModel (NeuralEngine::MachineLearning)
  INode (NeuralEngine::MachineLearning)
  InterDomainKernel (NeuralEngine::MachineLearning)
  IObjectiveFunction (NeuralEngine::MachineLearning)
  IOptimizationMethod (NeuralEngine::MachineLearning)
  is_float (NeuralEngine::MachineLearning)
  is_Scalar (NeuralEngine::MachineLearning)
  Isomap (NeuralEngine::MachineLearning)
  IVariableNode (NeuralEngine::MachineLearning)

K
  KBR (NeuralEngine::MachineLearning::GPModels)
  KMeans (NeuralEngine::MachineLearning)

L
  layertype_serializer
  LBFGSBSolver (NeuralEngine::MachineLearning)
  LBFGSSolver (NeuralEngine::MachineLearning)
  LexicoArray2 (NeuralEngine)
  LexicoArray2< false, Real > (NeuralEngine)
  LexicoArray2< false, Real, NumRows, NumCols >
  LexicoArray2< true, Real > (NeuralEngine)
  LexicoArray2< true, Real, NumRows, NumCols >
  LikelihoodBaseLayer (NeuralEngine::MachineLearning::GPModels)
  LinearAccelerationKernel (NeuralEngine::MachineLearning)
  LinearKernel (NeuralEngine::MachineLearning)
  Listener (NeuralEngine)
  LLE (NeuralEngine::MachineLearning)
  Logger (NeuralEngine)
  LogReporter (NeuralEngine)
  LogToFile (NeuralEngine)
  LogToMessageBox (NeuralEngine)
  LogToOutputWindow (NeuralEngine)
  LogToStdout (NeuralEngine)
  LogToStringArray (NeuralEngine)

M
  map (better_enums)
  map_compare (better_enums)
  map_compare< const char * > (better_enums)
  map_compare< const wchar_t * > (better_enums)
  MatlabIO (NeuralEngine)
  MatlabIOContainer (NeuralEngine)
  Metrics (NeuralEngine::MachineLearning)
  MinHeap (NeuralEngine)
  MoreThuenteLineSearch (NeuralEngine::MachineLearning)

N
  NadamSolver (NeuralEngine::MachineLearning)
  NonlinearObjectiveFunction (NeuralEngine::MachineLearning)

O
  Offset (NeuralEngine::MachineLearning)
  OptimizationMethod (NeuralEngine::MachineLearning)
  optional (better_enums)

P
  PCA (NeuralEngine::MachineLearning)
  Point2 (NeuralEngine::MachineLearning)
  Point3 (NeuralEngine::MachineLearning)
  Potential (NeuralEngine::MachineLearning)
  ProbitLikLayer (NeuralEngine::MachineLearning::GPModels)
  PTC (NeuralEngine::MachineLearning::GPModels)

R
  RBFAccelerationKernel (NeuralEngine::MachineLearning)
  RBFKernel (NeuralEngine::MachineLearning)
  MinHeap::Record (NeuralEngine)
  Rect (NeuralEngine::MachineLearning)
  ReversalObject (NeuralEngine)

S
  ScaledConjugateGradient (NeuralEngine::MachineLearning)
  SDGPLVM (NeuralEngine::MachineLearning::GPModels::AEP)
  SDGPR (NeuralEngine::MachineLearning::GPModels::AEP)
  SDGPSSM (NeuralEngine::MachineLearning::GPModels::AEP)
  Series (NeuralEngine::MachineLearning)
  SGPLayer (NeuralEngine::MachineLearning::GPModels::AEP)
  SGPLayer (NeuralEngine::MachineLearning::GPModels::PowerEP)
  SGPLayer (NeuralEngine::MachineLearning::GPModels::VFE)
  SGPLayer2nd (NeuralEngine::MachineLearning::GPModels::PowerEP)
  SGPLVM (NeuralEngine::MachineLearning::GPModels::AEP)
  SGPLVM (NeuralEngine::MachineLearning::GPModels::PowerEP)
  SGPLVM (NeuralEngine::MachineLearning::GPModels::VFE)
  SGPR (NeuralEngine::MachineLearning::GPModels::AEP)
  SGPR (NeuralEngine::MachineLearning::GPModels::PowerEP)
  SGPR (NeuralEngine::MachineLearning::GPModels::VFE)
  SGPR2nd (NeuralEngine::MachineLearning::GPModels::PowerEP)
  SGPSSM (NeuralEngine::MachineLearning::GPModels::AEP)
  Size (NeuralEngine::MachineLearning)
  SparseDeepGPBaseModel (NeuralEngine::MachineLearning::GPModels)
  SparseDeepGPLVMBaseModel (NeuralEngine::MachineLearning::GPModels)
  SparseDeepGPSSMBaseModel (NeuralEngine::MachineLearning::GPModels)
  SparseGPBaseLayer (NeuralEngine::MachineLearning::GPModels)
  SparseGPBaseModel (NeuralEngine::MachineLearning::GPModels)
  SparseGPLVMBaseModel (NeuralEngine::MachineLearning::GPModels)
  SparseGPSSMBaseModel (NeuralEngine::MachineLearning::GPModels)
  StrongWolfeBacktrackingLineSearch (NeuralEngine::MachineLearning)
  StrongWolfeBracketingLineSearch (NeuralEngine::MachineLearning)
  Style (NeuralEngine::MachineLearning::GPModels)
  StyleKernel (NeuralEngine::MachineLearning)

T
  TensorKernel (NeuralEngine::MachineLearning)
  ThreadSafeMap (NeuralEngine)
  ThreadSafeQueue (NeuralEngine)
  Timer (NeuralEngine)
  TMsgBox (NeuralEngine::MachineLearning)
  Trans (NeuralEngine::MachineLearning)
  TypeName (NeuralEngine)
  TypeName< bool > (NeuralEngine)
  TypeName< char > (NeuralEngine)
  TypeName< cv::Mat > (NeuralEngine)
  TypeName< double > (NeuralEngine)
  TypeName< float > (NeuralEngine)
  TypeName< int16_t > (NeuralEngine)
  TypeName< int32_t > (NeuralEngine)
  TypeName< int64_t > (NeuralEngine)
  TypeName< int8_t > (NeuralEngine)
  TypeName< MatlabIOContainer > (NeuralEngine)
  TypeName< std::vector< cv::Mat > > (NeuralEngine)
  TypeName< std::vector< MatlabIOContainer > > (NeuralEngine)
  TypeName< std::vector< std::vector< MatlabIOContainer > > > (NeuralEngine)
  TypeName< uint16_t > (NeuralEngine)
  TypeName< uint32_t > (NeuralEngine)
  TypeName< uint64_t > (NeuralEngine)
  TypeName< uint8_t > (NeuralEngine)
  TypeName< void > (NeuralEngine)

U
  Util (NeuralEngine::MachineLearning)
  Util (NeuralEngine)

V
  View (NeuralEngine::MachineLearning)

W
  WhiteKernel (NeuralEngine::MachineLearning)
  Window (NeuralEngine::MachineLearning)
  WolfeBacktrackingLineSearch (NeuralEngine::MachineLearning)
  WolfeBracketingLineSearch (NeuralEngine::MachineLearning)

X
  Isomap::Xstruct (NeuralEngine::MachineLearning)

_
  _eat_assign (better_enums)
  _initialize_at_program_start (better_enums)
  _Iterable (better_enums)