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)
Generated by
1.9.4