カテゴリー 全て - algorithms - regression

によって 蔡 蔡 7年前.

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Machine Learning Algorithms

A diverse array of machine learning algorithms exists, each categorized by distinct methodologies and applications. Dimensionality reduction techniques such as PCA and LDA are crucial for simplifying complex datasets.

Machine Learning Algorithms

Machine Learning Algorithms Grouped By Similarity

Others

Feature selection
Performance measures
Algorithm accuracy evaluation
SVR
SVM

Ensemble

GBRT
Blending
AdaBoost
Bagging
Boosting
GBM
Random Forest

Dimensionality Reduction

LDA
RDA
QDA
MDA
Partial Least Squares Discriminant Analysis
Projection Pursuit
MDS
Sammon Mapping
PLSR
PCR
PCA

Deep Learning

Stacked Auto-Encoders
CNN
DBN
DBM

Artificial Neural Networks

RBFN
Hopfield Network
Back-Propagation
Perceptron

Rule System

RIPPER
ZeroR
OneR
Cubist

Association rule learning

Eclat
Apriori

Clustering

Hierarchical Clustering
Expectation Maximization
k-Medians
k-Means

Bayesian

BN
Multinomial Naive Bayes
Gaussian Naive Bayes
BBN
AODE
Navie Bayes

Decision Tree

M5
Conditional Decision Trees
Decision Stump
CHAID
C4.5 & C5.0
ID3
CART

Regularization

LARS
Elastic Net
LASSO
Ridge Regression

Instance Based

LWL
SOM
LVQ
kNN

Regression

Logistic Regression
LOESS
MARS
Stepwise Regression
OLSR
Learner Regression