MEX Algorithm Ontology (mex-algo)

a d tree^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ADTree

has super-classes

algorithm class^c

has algorithm class^op some decision trees^c

a q^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#AQ

has super-classes

algorithm class^c

has algorithm class^op exactly 1 rules^c

adaptative boost^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#AdaptativeBoost

has super-classes

algorithm class^c

has algorithm class^op exactly 1 boosting^c

algorithm^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Algorithm

has super-classes

entity^c

has learning problem^op some learning problem^c

has learning method^op some learning method^c

has algorithm class^op some algorithm class^c

is in domain of

has algorithm class^op, has baseline^op, has hyper parameter^op, has hyper parameter collection^op, has learning method^op, has learning problem^op, has tool^op, is baseline of^op

is in range of

has baseline^op, is algorithm class of^op, is baseline of^op, is hyper parameter collection of^op, is hyper parameter of^op, is learning method of^op, is learning problem of^op, is tool of^op

algorithm class^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#AlgorithmClass

has sub-classes

ANN^c, AODE^c, ARIMA^c, ARMA^c, ILP^c, a d tree^c, a q^c, adaptative boost^c, apriori^c, b f tree^c, b i r c h^c, back propagation^c, bagging^c, baseline^c, bayes theory^c, boosting^c, c a r t^c, c h a i d^c, c h a m e l e o n^c, c l a r a^c, c l a r a n s^c, c u r e^c, clustering^c, decision stump^c, decision table^c, decision trees^c, e l t l^c, f p^c, genetic algorithms^c, hybrid algorithm^c, i d3^c, i n d u c e^c, kmeans^c, l a d tree^c, l m t^c, logical representations^c, m a r s^c, markov^c, multilayer perceptron^c, n b tree^c, nearest neigbour^c, o p t i c s^c, probabilistic model^c, probabilistic soft logic^c, r e p tree^c, regression analysis^c, regression functions^c, rules^c, sequential minimal optimization^c, simple cart^c, support vector machines^c, support vector networks^c, user classifier^c

is in domain of

is algorithm class of^op

is in range of

has algorithm class^op

is disjoint with

hyper parameter^c, learning method^c, learning problem^c

ANN^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ArtificialNeuralNetwork

has super-classes

algorithm class^c

AODE^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#AverageOneDependenceEstimators

has super-classes

algorithm class^c

apache mahout^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ApacheMahout

has super-classes

tool^c

apriori^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Apriori

has super-classes

algorithm class^c

ARIMA^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#AutoregressiveIntegratedMovingAverage

has super-classes

algorithm class^c

ARMA^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#AutoregressiveMovingAverage

has super-classes

algorithm class^c

association^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Association

has super-classes

learning problem^c

AZURE^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#MicrosoftAzureMachineLearning

has super-classes

tool^c

b f tree^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#BFTree

has super-classes

algorithm class^c

has algorithm class^op some decision trees^c

b i r c h^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#BIRCH

has super-classes

algorithm class^c

back propagation^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#BackPropagation

has super-classes

algorithm class^c

has algorithm class^op exactly 1 ANN^c

is disjoint with

c45^c, e l t l^c, kmeans^c, logistic regression^c, naive bayes^c, random forest^c, regression analysis^c, support vector machines^c

bagging^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Bagging

has super-classes

algorithm class^c

baseline^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Baseline

has super-classes

algorithm class^c

bayes theory^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#BayesTheory

has super-classes

algorithm class^c

bayes theory algorithms^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#BayesTheoryAlgorithms

is equivalent to

algorithm^c and (has algorithm class^op some bayes theory^c)

boosting^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Boosting

has super-classes

algorithm class^c

c^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#C

has super-classes

library^c

c a r t^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#CART

has super-classes

algorithm class^c

has algorithm class^op exactly 1 decision trees^c

c h a i d^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#CHAID

has super-classes

algorithm class^c

c h a m e l e o n^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#CHAMELEON

has super-classes

algorithm class^c

c l a r a^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#CLARA

has super-classes

algorithm class^c

c l a r a n s^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#CLARANS

has super-classes

algorithm class^c

c plus plus^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#CPlusPlus

has super-classes

library^c

c s v m^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#C-SVM

has super-classes

support vector machines^c

has learning problem^op exactly 1 classification problem^c

c u r e^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#CURE

has super-classes

algorithm class^c

c45^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#C45

has super-classes

decision trees^c

has algorithm class^op some decision trees^c

is disjoint with

back propagation^c, kmeans^c, logistic regression^c, naive bayes^c, random forest^c, regression analysis^c, support vector machines^c

centura^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Centura

has super-classes

library^c

classification^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Classification

has super-classes

learning problem^c

clustering^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Clustering

has super-classes

algorithm class^c

clustering problem^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ClusteringProblem

has super-classes

learning problem^c

d l learner^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#DLLearner

has super-classes

tool^c

decision stump^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#DecisionStump

has super-classes

algorithm class^c

has algorithm class^op some decision trees^c

decision table^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#DecisionTable

has super-classes

algorithm class^c

decision trees^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#DecisionTrees

has super-classes

algorithm class^c

has sub-classes

c45^c, j48^c, j48 graft^c, random forest^c, random tree^c

decision trees algorithms^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#DecisionTreesAlgorithms

is equivalent to

algorithm^c and (has algorithm class^op some decision trees^c)

descriptive method^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#DescriptiveMethod

is equivalent to

algorithm^c and (has learning method^op exactly 1 unsupervised^c)

dot net^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#DotNet

has super-classes

library^c

e l k i^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ELKI

has super-classes

tool^c

e l t l^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ELTL

has super-classes

algorithm class^c

has algorithm class^op some decision trees^c

is disjoint with

back propagation^c, kmeans^c, logistic regression^c, naive bayes^c, random forest^c, regression analysis^c, support vector machines^c

e views^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#EViews

has super-classes

tool^c

encog^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Encog

has super-classes

tool^c

ensamble technique^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#EnsambleTechnique

is equivalent to

algorithm^c and (has algorithm class^op some bagging^c)

algorithm^c and (has algorithm class^op some boosting^c)

f a ma^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#FAMa

has super-classes

tool^c

f p^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#FP

has super-classes

algorithm class^c

has algorithm class^op some decision trees^c

for classification problem^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ForClassificationProblem

is equivalent to

algorithm^c and (has learning problem^op exactly 1 classification problem^c)

genetic algorithms^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#GeneticAlgorithms

has super-classes

algorithm class^c

h2 o^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#H2O

has super-classes

tool^c

hybrid algorithm^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#HybridAlgorithm

has super-classes

algorithm class^c

hyper parameter^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#HyperParameter

has super-classes

entity^c

is in domain of

is hyper parameter of^op

is in range of

has hyper parameter^op

is disjoint with

algorithm class^c, learning method^c, learning problem^c

hyper parameter collection^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#HyperParameterCollection

has super-classes

collection^c

is in domain of

is hyper parameter collection of^op

is in range of

has hyper parameter collection^op

i b m miner^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#IBMMiner

has super-classes

tool^c

i d3^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ID3

has super-classes

algorithm class^c

has algorithm class^op exactly 1 decision trees^c

i n d u c e^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#INDUCE

has super-classes

algorithm class^c

has algorithm class^op exactly 1 rules^c

ILP^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#InductiveLogicProgramming

has super-classes

algorithm class^c

j48^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#J48

has super-classes

decision trees^c

has algorithm class^op some decision trees^c

j48 graft^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#J48Graft

has super-classes

decision trees^c

has algorithm class^op some decision trees^c

java^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Java

has super-classes

library^c

java script^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#JavaScript

has super-classes

library^c

julia^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Julia

has super-classes

tool^c

k n i m e^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#KNIME

has super-classes

tool^c

k x e n^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#KXEN

has super-classes

tool^c

kmeans^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Kmeans

has super-classes

algorithm class^c

has algorithm class^op exactly 1 clustering^c

is disjoint with

back propagation^c, c45^c, e l t l^c, logistic regression^c, naive bayes^c, random forest^c, regression analysis^c, support vector machines^c

l a d tree^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LADTree

has super-classes

algorithm class^c

has algorithm class^op some decision trees^c

l i o nsolver^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LIONsolver

has super-classes

tool^c

l m t^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LMT

has super-classes

algorithm class^c

has algorithm class^op some decision trees^c

learning method^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LearningMethod

has sub-classes

reinforcement^c, semi supervised^c, supervised^c, unsupervised^c

is in domain of

is learning method of^op

is in range of

has learning method^op

is disjoint with

algorithm class^c, hyper parameter^c

learning problem^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LearningProblem

has sub-classes

association^c, classification^c, clustering problem^c, metaheuristic^c, regression^c, summarization^c

is in domain of

is learning problem of^op

is in range of

has learning problem^op

is disjoint with

algorithm class^c, hyper parameter^c

lib linear^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LibLinear

has super-classes

tool^c

lib s v m^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LibSVM

has super-classes

tool^c

library^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Library

has super-classes

tool^c

has sub-classes

c^c, c plus plus^c, centura^c, dot net^c, java^c, java script^c, node j s^c, other^c, p h p^c, python^c, ruby^c

linear regression^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LinearRegression

has super-classes

regression analysis^c

linear s m o^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LinearSMO

has super-classes

sequential minimal optimization^c

linear s v m^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Linear-SVM

has super-classes

support vector machines^c

logical representations^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LogicalRepresentations

has super-classes

algorithm class^c

logistic regression^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#LogisticRegression

has super-classes

regression analysis^c

is disjoint with

back propagation^c, c45^c, e l t l^c, kmeans^c, naive bayes^c, random forest^c, support vector machines^c

m a r s^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#MARS

has super-classes

algorithm class^c

m l p a c k^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#MLPACK

has super-classes

tool^c

markov^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Markov

has super-classes

algorithm class^c

mathematica^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Mathematica

has super-classes

tool^c

matlab^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Matlab

has super-classes

tool^c

metaheuristic^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Metaheuristic

has super-classes

learning problem^c

mlpy^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#mlpy

has super-classes

tool^c

MOA^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#MassiveOnlineAnalysis

has super-classes

tool^c

monte carlo machine learning library^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#MonteCarloMachineLearningLibrary

has super-classes

tool^c

multilayer perceptron^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#MultilayerPerceptron

has super-classes

algorithm class^c

has algorithm class^op exactly 1 ANN^c

n b tree^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#NBTree

has super-classes

algorithm class^c

has algorithm class^op exactly 1 decision trees^c

naive bayes^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#NaiveBayes

has super-classes

probabilistic model^c

has learning problem^op exactly 1 regression^c

has learning method^op exactly 1 supervised^c

has algorithm class^op some bayes theory^c

is disjoint with

back propagation^c, c45^c, e l t l^c, kmeans^c, logistic regression^c, random forest^c, regression analysis^c, support vector machines^c

nearest neigbour^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#NearestNeigbour

has super-classes

algorithm class^c

neuro solutions^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#NeuroSolutions

has super-classes

tool^c

node j s^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#NodeJS

has super-classes

library^c

o p t i c s^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#OPTICS

has super-classes

algorithm class^c

octave^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Octave

has super-classes

tool^c

open c v^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#OpenCV

has super-classes

tool^c

open n n^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#OpenNN

has super-classes

tool^c

oracle data mining^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#OracleDataMining

has super-classes

tool^c

orange^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Orange

has super-classes

tool^c

other^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Other

has super-classes

library^c

p h p^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#PHP

has super-classes

library^c

polynomial s v m^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Polynomial-SVM

has super-classes

support vector machines^c

predictive method^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#PredictiveMethod

is equivalent to

algorithm^c and (has learning method^op exactly 1 supervised^c)

probabilistic model^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ProbabilisticModel

has super-classes

algorithm class^c

has sub-classes

naive bayes^c

probabilistic soft logic^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ProbabilisticSoftLogic

has super-classes

algorithm class^c

python^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Python

has super-classes

library^c

r^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#R

has super-classes

tool^c

r b f s v m^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#RBF-SVM

has super-classes

support vector machines^c

r c a s e^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#RCASE

has super-classes

tool^c

r e p tree^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#REPTree

has super-classes

algorithm class^c

has algorithm class^op exactly 1 decision trees^c

r s v m^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#R-SVM

has super-classes

support vector machines^c

has learning problem^op exactly 1 regression^c

random forest^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#RandomForest

has super-classes

decision trees^c

has algorithm class^op some decision trees^c

is disjoint with

back propagation^c, c45^c, e l t l^c, kmeans^c, logistic regression^c, naive bayes^c, regression analysis^c, support vector machines^c

random tree^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#RandomTree

has super-classes

decision trees^c

has algorithm class^op some decision trees^c

is disjoint with

regression analysis^c, support vector machines^c

rapid miner^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#RapidMiner

has super-classes

tool^c

regression^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Regression

has super-classes

learning problem^c

regression analysis^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#RegressionAnalysis

has super-classes

algorithm class^c

has algorithm class^op exactly 1 regression functions^c

has sub-classes

linear regression^c, logistic regression^c

is disjoint with

back propagation^c, c45^c, e l t l^c, kmeans^c, naive bayes^c, random forest^c, random tree^c, support vector machines^c

regression functions^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#RegressionFunctions

has super-classes

algorithm class^c

reinforcement^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Reinforcement

has super-classes

learning method^c

ruby^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Ruby

has super-classes

library^c

rules^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Rules

has super-classes

algorithm class^c

s a p^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SAP

has super-classes

tool^c

s p s s^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SPSS

has super-classes

tool^c

s q l server analysis services^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SQLServerAnalysisServices

has super-classes

tool^c

SAS^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SASEnterpriseMiner

has super-classes

tool^c

scikit learn^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#scikit-learn

has super-classes

tool^c

semi supervised^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SemiSupervised

has super-classes

learning method^c

sequential minimal optimization^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SequentialMinimalOptimization

has super-classes

algorithm class^c

has sub-classes

linear s m o^c

shogun^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Shogun

has super-classes

tool^c

sigmoid s v m^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Sigmoid-SVM

has super-classes

support vector machines^c

simple cart^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SimpleCart

has super-classes

algorithm class^c

has algorithm class^op exactly 1 decision trees^c

stata^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Stata

has super-classes

tool^c

STATISTICA^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#STATISTICADataMiner

has super-classes

tool^c

statistical approach^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#StatisticalApproach

is equivalent to

algorithm^c and (has algorithm class^op some support vector networks^c)

algorithm^c and (has algorithm class^op some bayes theory^c)

algorithm^c and (has algorithm class^op some ANN^c)

summarization^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Summarization

has super-classes

learning problem^c

supervised^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Supervised

has super-classes

learning method^c

supervised approach^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SupervisedApproach

is equivalent to

algorithm^c and ((has learning problem^op exactly 1 classification problem^c) or (has learning problem^op exactly 1 regression^c))

algorithm^c and (has learning method^op exactly 1 supervised^c)

support vector machines^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SupportVectorMachines

has super-classes

algorithm class^c

(has learning problem^op exactly 1 classification problem^c) or (has learning problem^op exactly 1 regression^c)

(has learning method^op exactly 1 semi supervised^c) or (has learning method^op exactly 1 supervised^c)

has algorithm class^op exactly 1 support vector networks^c

has sub-classes

c s v m^c, linear s v m^c, polynomial s v m^c, r b f s v m^c, r s v m^c, sigmoid s v m^c

is disjoint with

back propagation^c, c45^c, e l t l^c, kmeans^c, logistic regression^c, naive bayes^c, random forest^c, random tree^c, regression analysis^c

support vector networks^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SupportVectorNetworks

has super-classes

algorithm class^c

symbolic approach^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#SymbolicApproach

is equivalent to

algorithm^c and (has algorithm class^op some rules^c)

algorithm^c and (has algorithm class^op some logical representations^c)

algorithm^c and (has algorithm class^op some decision trees^c)

tool^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Tool

has super-classes

project

version

entity^c

software agent^c

has sub-classes

AZURE^c, MOA^c, SAS^c, STATISTICA^c, apache mahout^c, d l learner^c, e l k i^c, e views^c, encog^c, f a ma^c, h2 o^c, i b m miner^c, julia^c, k n i m e^c, k x e n^c, l i o nsolver^c, lib linear^c, lib s v m^c, library^c, m l p a c k^c, mathematica^c, matlab^c, mlpy^c, monte carlo machine learning library^c, neuro solutions^c, octave^c, open c v^c, open n n^c, oracle data mining^c, orange^c, r^c, r c a s e^c, rapid miner^c, s a p^c, s p s s^c, s q l server analysis services^c, scikit learn^c, shogun^c, stata^c, weka^c, y a l e^c, yooreeka^c

is in domain of

is tool of^op

is in range of

has tool^op

tool parameter^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ToolParameter

has super-classes

entity^c

tool parameter collection^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#ToolParameterCollection

has super-classes

collection^c

unsupervised^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Unsupervised

has super-classes

learning method^c

unsupervised approach^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#UnsupervisedApproach

is equivalent to

algorithm^c and (has learning method^op exactly 1 unsupervised^c)

algorithm^c and ((has learning problem^op exactly 1 association^c) or (has learning problem^op exactly 1 clustering problem^c) or (has learning problem^op exactly 1 summarization^c))

user classifier^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#UserClassifier

has super-classes

algorithm class^c

has algorithm class^op exactly 1 decision trees^c

weka^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Weka

has super-classes

tool^c

y a l e^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#YALE

has super-classes

tool^c

yooreeka^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-algo#Yooreeka

has super-classes

tool^c

has algorithm class^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasAlgorithmClass

has algorithm configuration^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasAlgorithmConfiguration

has baseline^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasBaseline

has hyper parameter^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasHyperParameter

has hyper parameter collection^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasHyperParameterCollection

has learning method^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasLearningMethod

has learning problem^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasLearningProblem

has tool^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#hasTool

is algorithm class of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isAlgorithmClassOf

is algorithm configuration of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isAlgorithmConfigurationOf

is baseline of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isBaselineOf

is hyper parameter collection of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isHyperParameterCollectionOf

is hyper parameter of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isHyperParameterOf

is learning method of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isLearningMethodOf

is learning problem of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isLearningProblemOf

is tool of^op back to ToC or Object Property ToC

IRI: http://mex.aksw.org/mex-algo#isToolOf

acronym^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-algo#acronym