User:Taser/Books/Machine Learning Vol-2

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Machine Learning[edit]

Learning Theory
Computational learning theory
Version space
Probably approximately correct learning
Vapnik–Chervonenkis theory
Shattering (machine learning)
VC dimension
Minimum description length
Bondy's theorem
Inferential theory of learning
Rademacher complexity
Teaching dimension
Subclass reachability
Sample exclusion dimension
Unique negative dimension
Uniform convergence (combinatorics)
Witness set
Support Vector Machines
Kernel methods
Support vector machine
Structural risk minimization
Empirical risk minimization
Kernel trick
Least squares support vector machine
Relevance vector machine
Sequential minimal optimization
Structured SVM
Regression analysis
Outline of regression analysis
Regression analysis
Dependent and independent variables
Linear model
Linear regression
Least squares
Linear least squares (mathematics)
Local regression
Additive model
Antecedent variable
Autocorrelation
Backfitting algorithm
Bayesian linear regression
Bayesian multivariate linear regression
Binomial regression
Canonical analysis
Censored regression model
Coefficient of determination
Comparison of general and generalized linear models
Compressed sensing
Conditional change model
Controlling for a variable
Cross-sectional regression
Curve fitting
Deming regression
Design matrix
Difference in differences
Dummy variable (statistics)
Errors and residuals in statistics
Errors-in-variables models
Explained sum of squares
Explained variation
First-hitting-time model
Fixed effects model
Fraction of variance unexplained
Frisch–Waugh–Lovell theorem
General linear model
Generalized additive model
Generalized additive model for location, scale and shape
Generalized estimating equation
Generalized least squares
Generalized linear array model
Generalized linear mixed model
Generalized linear model
Growth curve
Guess value
Hat matrix
Heckman correction
Heteroscedasticity-consistent standard errors
Hosmer–Lemeshow test
Instrumental variable
Interaction (statistics)
Isotonic regression
Iteratively reweighted least squares
Kitchen sink regression
Lack-of-fit sum of squares
Leverage (statistics)
Limited dependent variable
Linear probability model
Mallows's Cp
Mean and predicted response
Mixed model
Moderation (statistics)
Moving least squares
Multicollinearity
Multiple correlation
Multivariate probit
Multivariate adaptive regression splines
Newey–West estimator
Non-linear least squares
Nonlinear regression
Logistic Regression
Logit
Multinomial logit
Logistic regression
Bio-inspired Methods
Bio-inspired computing
Evolutionary Algorithms
Evolvability (computer science)
Evolutionary computation
Evolutionary algorithm
Genetic algorithm
Chromosome (genetic algorithm)
Crossover (genetic algorithm)
Fitness function
Evolutionary data mining
Genetic programming
Learnable Evolution Model
Neural Networks
Neural network
Artificial neural network
Artificial neuron
Types of artificial neural networks
Perceptron
Multilayer perceptron
Activation function
Self-organizing map
Attractor network
ADALINE
Adaptive Neuro Fuzzy Inference System
Adaptive resonance theory
IPO underpricing algorithm
ALOPEX
Artificial Intelligence System
Autoassociative memory
Autoencoder
Backpropagation
Bcpnn
Bidirectional associative memory
Biological neural network
Boltzmann machine
Restricted Boltzmann machine
Cellular neural network
Cerebellar Model Articulation Controller
Committee machine
Competitive learning
Compositional pattern-producing network
Computational cybernetics
Computational neurogenetic modeling
Confabulation (neural networks)
Cortical column
Counterpropagation network
Cover's theorem
Cultured neuronal network
Dehaene-Changeux Model
Delta rule
Early stopping
Echo state network
The Emotion Machine
Evolutionary Acquisition of Neural Topologies
Extension neural network
Feed-forward
Feedforward neural network
Generalized Hebbian Algorithm
Generative topographic map
Group method of data handling
Growing self-organizing map
Memory-prediction framework
Helmholtz machine
Hierarchical temporal memory
Hopfield network
Hybrid neural network
HyperNEAT
Infomax
Instantaneously trained neural networks
Interactive Activation and Competition
Leabra
Learning Vector Quantization
Lernmatrix
Linde–Buzo–Gray algorithm
Liquid state machine
Long short term memory
Madaline
Modular neural networks
MoneyBee
Neocognitron
Nervous system network models
NETtalk (artificial neural network)
Neural backpropagation
Neural coding
Neural cryptography
Neural decoding
Neural gas
Neural Information Processing Systems
Neural modeling fields
Neural oscillation
Neurally controlled animat
Neuroevolution of augmenting topologies
Neuroplasticity
Ni1000
Nonspiking neurons
Nonsynaptic plasticity
Oja's rule
Optical neural network
Phase-of-firing code
Promoter based genetic algorithm
Pulse-coupled networks
Quantum neural network
Radial basis function
Radial basis function network
Random neural network
Recurrent neural network
Reentry (neural circuitry)
Reservoir computing
Rprop
Semantic neural network
Sigmoid function
SNARC
Softmax activation function
Spiking neural network
Stochastic neural network
Synaptic plasticity
Synaptic weight
Tensor product network
Time delay neural network
U-Matrix
Universal approximation theorem
Winner-take-all
Winnow (algorithm)
Reinforcement learning
Reinforcement learning
Markov decision process
Bellman equation
Q-learning
Temporal difference learning
SARSA
Multi-armed bandit
Apprenticeship learning
Predictive learning
Text Mining
Text mining
Natural language processing
Document classification
Bag of words model
N-gram
Part-of-speech tagging
Sentiment analysis
Information extraction
Topic model
Concept mining
Semantic analysis (machine learning)
Automatic summarization
Automatic distillation of structure
String kernel
Biomedical text mining
Never-Ending Language Learning
Structure Mining
Structure mining
Structured learning
Structured prediction
Sequence mining
Sequence labeling
Process mining
Advanced Learning Tasks
Multi-label classification
Classifier chains
Web mining
Anomaly detection
Anomaly Detection at Multiple Scales
Local outlier factor
Novelty detection
GSP Algorithm
Optimal matching
Record linkage
Meta learning (computer science)
Learning automata
Learning to rank
Multiple-instance learning
Statistical relational learning
Relational classification
Data stream mining
Alpha algorithm
Syntactic pattern recognition
Multispectral pattern recognition
Algorithmic learning theory
Deep learning
Bongard problem
Learning with errors
Parity learning
Inductive transfer
Granular computing
Conceptual clustering
Formal concept analysis
Biclustering
Information visualization
Co-occurrence networks
Applications
Problem domain
Recommender system
Collaborative filtering
Profiling (information science)
Speech recognition
Stock forecast
Activity recognition
Data Analysis Techniques for Fraud Detection
Molecule mining
Predictive behavioral targeting
Proactive Discovery of Insider Threats Using Graph Analysis and Learning
Robot learning
Computer vision
Facial recognition system
Outlier detection
Anomaly detection
Novelty detection
Software
R (programming language)
MapReduce
Oracle Data Mining
Pentaho
Mallet (software project)
Orange (software)
Learning Based Java
Scikit-learn
Waffles (machine learning)
Apache Mahout
Data Applied
Data Mining Extensions
ELKI
Feature Selection Toolbox
Monte Carlo Machine Learning Library (MCMLL)
Neural network software
Software mining