User:Taser/Books/Machine Learning Vol-2

Machine Learning

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 C_p

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