User:Zarzuelazen/Books/Reality Theory: Machine Learning

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Reality Theory: Machine Learning[edit]

3D pose estimation
Acoustic model
Activation function
Active learning (machine learning)
Adaptive resonance theory
Adversarial machine learning
Affine shape adaptation
Algorithm selection
Ancestral graph
Anomaly detection
Artificial neural network
Artificial neuron
Association rule learning
Assortativity
Autoassociative memory
Autoencoder
Automated machine learning
Automatic summarization
Backpropagation
Bag-of-words model in computer vision
Barabási–Albert model
Baum–Welch algorithm
Bayesian network
Belief propagation
Betweenness centrality
Bias–variance tradeoff
Bidirectional associative memory
Bidirectional recurrent neural networks
Binary classification
Blob detection
Boltzmann machine
Boosting (machine learning)
Bootstrap aggregating
C4.5 algorithm
Caffe (software)
Canonical correlation
Capsule neural network
Catastrophic interference
Centrality
Cerebellar model articulation controller
CheiRank
Cluster analysis
Collaborative filtering
Community structure
Competitive learning
Complex network
Computational learning theory
Computational statistics
Computer vision
Computing the permanent
Conceptual clustering
Conditional random field
Confirmatory factor analysis
Confusion matrix
Constellation model
Constrained conditional model
Content discovery platform
Content-based image retrieval
Convolutional neural network
Corner detection
Correspondence analysis
Cross-validation (statistics)
Curse of dimensionality
Curve fitting
Data mining
Data pre-processing
Davies–Bouldin index
DBSCAN
Decision tree
Decision tree learning
Deep belief network
Deep learning
Degree distribution
Delta rule
Differentiable neural computer
Diffusion map
Dimensionality reduction
Discriminant function analysis
Discriminative model
Distribution learning theory
Document classification
Document retrieval
Domain adaptation
Dunn index
Dynamic Bayesian network
Eager learning
Early stopping
Echo state network
Edge detection
Efficiency (network science)
Elastic map
Email filtering
Empirical risk minimization
Ensemble averaging (machine learning)
Ensemble learning
Erdős–Rényi model
Error tolerance (PAC learning)
Evolving networks
Example-based machine translation
Expectation–maximization algorithm
Exploratory factor analysis
Exponential random graph models
Extrapolation
Face detection
Facial recognition system
Factor analysis
Factor graph
Feature (computer vision)
Feature (machine learning)
Feature detection (computer vision)
Feature engineering
Feature extraction
Feature hashing
Feature learning
Feature selection
Feature vector
Feedforward neural network
Fixed effects model
Forward algorithm
Forward–backward algorithm
Function approximation
Fusion adaptive resonance theory
Fuzzy clustering
Gated recurrent unit
Gaussian elimination
General linear model
Generalization error
Generalized linear model
Generative adversarial networks
Generative model
Gesture recognition
Gibbs sampling
Google Search
Gradient boosting
Graph drawing
Graphical model
Group method of data handling
Growth function
Handwriting recognition
Hidden Markov model
Hierarchical clustering
Hierarchical clustering of networks
Hierarchical Deep Learning
Hierarchical hidden Markov model
Hierarchical network model
Hierarchical temporal memory
HITS algorithm
Hopfield network
Hough transform
Hyperbolic geometric graph
Hyperparameter (machine learning)
Hyperparameter optimization
ID3 algorithm
Image segmentation
ImageNet
Incremental learning
Inductive bias
Information extraction
Information filtering system
Information retrieval
Information visualization
Instance selection
Instantaneously trained neural networks
Interest point detection
Interpolation
Junction tree algorithm
K-means clustering
K-medians clustering
K-nearest neighbors algorithm
Keras
Kernel density estimation
Kernel embedding of distributions
Kernel method
Kernel perceptron
Kernel principal component analysis
Lancichinetti–Fortunato–Radicchi benchmark
Language model
Lasso (statistics)
Latent class model
Latent growth modeling
Latent variable model
Lazy learning
Learning classifier system
Learning to rank
Learning vector quantization
Least squares
Least-angle regression
Linear classifier
Linear discriminant analysis
Linear interpolation
Linear regression
Linear separability
Link analysis
Liquid state machine
List of datasets for machine learning research
Local regression
Local tangent space alignment
Logistic regression
Long short-term memory
Loss function
LU decomposition
Machine learning
Machine translation
Manifold alignment
Manifold regularization
Markov chain
Markov chain Monte Carlo
Markov model
Markov random field
Matrix multiplication algorithm
Maximum-entropy Markov model
Mean shift
Meta learning (computer science)
Method of moments (statistics)
Metropolis–Hastings algorithm
Mixed logit
Mixture model
MNIST database
Modular neural network
Modularity (networks)
Motion estimation
Multi-label classification
Multi-task learning
Multiclass classification
Multidimensional scaling
Multilayer perceptron
Multilevel model
Multilinear principal component analysis
Multilinear subspace learning
Multinomial logistic regression
Multinomial probit
Naive Bayes classifier
Naive Bayes spam filtering
Network controllability
Network science
Network theory
Neural architecture search
Neural Turing machine
Non-linear least squares
Non-negative matrix factorization
Nonlinear dimensionality reduction
Nonlinear regression
Nonparametric regression
Numerical linear algebra
Object detection
Occam learning
One-shot learning
Online machine learning
OpenCV
Optical character recognition
Optical flow
OPTICS algorithm
Ordered logit
Ordered probit
Ordinal regression
Ordinary least squares
Outline of object recognition
Overfitting
PageRank
Part-based models
Partial least squares path modeling
Path analysis (statistics)
Path coefficient
Pattern recognition
Perceptron
Platt scaling
Point set registration
Poisson regression
Polynomial interpolation
Polynomial regression
Pose (computer vision)
Precision and recall
Predictive analytics
Predictive modelling
Principal component analysis
Probabilistic neural network
Probably approximately correct learning
Probit model
Pruning (decision trees)
PyTorch
QR decomposition
Quantum machine learning
Quantum neural network
Question answering
Rademacher complexity
Radial basis function
Radial basis function kernel
Radial basis function network
Random effects model
Random forest
Random subspace method
Ranking (information retrieval)
Receiver operating characteristic
Reciprocity (network science)
Recommender system
Rectifier (neural networks)
Recurrent neural network
Recursive neural network
Regression analysis
Regularization (mathematics)
Relation network
Relevance vector machine
Representer theorem
Reservoir computing
Residual neural network
Restricted Boltzmann machine
Ridge detection
Root-mean-square deviation
Rule-based machine learning
Sample complexity
Scale space
Scale space implementation
Scale-free network
Scale-invariant feature transform
Scale-space axioms
Scale-space segmentation
Scikit-learn
Self-organizing map
Semi-supervised learning
Semidefinite embedding
Sequence labeling
Sequential pattern mining
Shattered set
Sigmoid function
Similarity learning
Simple linear regression
Singular value decomposition
Small-world network
Softmax function
Solomonoff's theory of inductive inference
Sparse dictionary learning
Sparse distributed memory
Sparse matrix
Spectral clustering
Speech recognition
Speech synthesis
Spiking neural network
Spline interpolation
Stability (learning theory)
Statistical classification
Statistical learning theory
Statistical machine translation
Stochastic block model
Structural equation modeling
Structural risk minimization
Structure mining
Structure tensor
Structured prediction
Structured support vector machine
Supervised learning
Support vector machine
TensorFlow
Text mining
Thresholding (image processing)
Tikhonov regularization
Time delay neural network
Training, test, and validation sets
Transfer learning
TrustRank
Types of artificial neural networks
Universal approximation theorem
Unsupervised learning
Vanishing gradient problem
Vapnik–Chervonenkis theory
Variable-order Markov model
Variational Bayesian methods
VC dimension
Vector quantization
Video tracking
Visual descriptor
Visual odometry
Viterbi algorithm
Watts–Strogatz model
Web search engine
Winnow (algorithm)