Category:Machine learning algorithms
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Here is a list of articles in the category Machine learning algorithms of the Computing portal that unifies foundations of mathematics and computations using computers.
Pages in category "Machine learning algorithms"
The following 66 pages are in this category, out of 66 total.
A
- Adagrad (computing)
- Algorithms of Oppression (computing)
- Almeida–Pineda recurrent backpropagation (computing)
B
- Backpropagation (computing)
- Bioz (computing)
- Bootstrap aggregating (computing)
C
- Cancer Likelihood in Plasma (computing)
- CN2 algorithm (computing)
- Constructing skill trees (computing)
D
- Deep reinforcement learning (computing)
- Dehaene–Changeux model (computing)
- Diffusion map (computing)
- Dominance-based rough set approach (computing)
- Dynamic time warping (computing)
E
- Elastic net regularization (computing)
- Error-driven learning (computing)
- Evolutionary multimodal optimization (computing)
- Expectation–maximization algorithm (computing)
- Extremal Ensemble Learning (computing)
F
- FastICA (computing)
- Forward–backward algorithm (computing)
G
- GeneRec (computing)
- Genetic Algorithm for Rule Set Production (computing)
- Growing self-organizing map (computing)
H
- HEXQ (computing)
- Hyper basis function network (computing)
I
- IDistance (computing)
K
- K-nearest neighbors algorithm (computing)
- Kernel methods for vector output (computing)
- Kernel principal component analysis (computing)
L
- Label propagation algorithm (computing)
- Lasso (statistics) (computing)
- Leabra (computing)
- Linde–Buzo–Gray algorithm (computing)
- Local outlier factor (computing)
- Logic learning machine (computing)
- LogitBoost (computing)
- Loss functions for classification (computing)
M
- Manifold alignment (computing)
- Minimum redundancy feature selection (computing)
- Mixture of experts (computing)
- Multiple kernel learning (computing)
N
- Non-negative matrix factorization (computing)
O
- Online machine learning (computing)
- Out-of-bag error (computing)
P
- Prefrontal cortex basal ganglia working memory (computing)
- Prototype methods (computing)
- PVLV (computing)
Q
- Q-learning (computing)
- Quadratic unconstrained binary optimization (computing)
- Query-level feature (computing)
- Quickprop (computing)
R
- Radial basis function network (computing)
- Randomized weighted majority algorithm (computing)
- Rprop (computing)
- Rule-based machine learning (computing)
S
- Skill chaining (computing)
- Sparse PCA (computing)
- State–action–reward–state–action (computing)
- Stochastic gradient descent (computing)
- Structured kNN (computing)
T
- T-distributed stochastic neighbor embedding (computing)
- Triplet loss (computing)
W
- Wake-sleep algorithm (computing)
- Weighted majority algorithm (machine learning) (computing)
Z
- Zero-shot learning (computing)
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