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Model Families

90 Concepts

Pinned classes and model lineages sharing core design characteristics.

Showing 90 of 90

Concept	Origin	Kind / Branch	Identifier	Evidence / Status
Admixture of Poisson Markov random fields aka Admixture of Poisson MRFs, APM A probabilistic topic-model family that draws each document from a proper Poisson-MRF base distribution whose canonical unary and interactio…	Curated	Model Families	`AIMech:AdmixtureOfPoissonMarkovRandomFields`	2 claims 6 sources
Author-persona-topic model aka APT A probabilistic topic-model family in which each author has a mixture of personas, each persona has a topic distribution, and one persona sh…	Curated	Model Families	`AIMech:AuthorPersonaTopicModel`	3 claims 1 source
Author-recipient-topic model aka ART A generative message model with a topic distribution for each ordered sender-recipient pair, in which each word selects a recipient uniforml…	Curated	Model Families	`AIMech:AuthorRecipientTopicModel`	2 claims 2 sources
Author-topic model A generative document model in which each author has a shared topic-proportion distribution and each word is produced by uniformly selecting…	Curated	Model Families	`AIMech:AuthorTopicModel`	2 claims 1 source
Auto-binomial Markov random field aka Auto-binomial model, Auto-binomial scheme A finite pairwise Markov-field model for bounded site counts whose full conditionals are binomial with fixed trial counts and log odds linea…	Curated	Model Families	`AIMech:AutoBinomialMarkovRandomField`	1 claim 1 source
Auto-exponential Markov random field aka Auto-exponential model, Auto-exponential scheme A finite pairwise Markov-field model for nonnegative continuous site values with exponential full conditionals whose rates are positive base…	Curated	Model Families	`AIMech:AutoExponentialMarkovRandomField`	1 claim 1 source
Auto-normal Markov random field aka Auto-normal model, Auto-normal scheme… A proper finite Gaussian Markov-field model specified by linear full-conditional means and positive, value-independent site conditional vari…	Curated	Model Families	`AIMech:AutoNormalMarkovRandomField`	1 claim 2 sources
Auto-Poisson Markov random field aka Auto-Poisson model, Auto-Poisson scheme A finite pairwise Markov-field model for unbounded nonnegative integer counts whose full conditionals are Poisson with log means linear in n…	Curated	Model Families	`AIMech:AutoPoissonMarkovRandomField`	1 claim 1 source
Boltzmann chain A family of tied-weight undirected Boltzmann sequence models with hidden temporal variables, observed variables and chain-derived connectivi…	Curated	Model Families	`AIMech:BoltzmannChain`	2 claims 2 sources
Composite HMM-topic model A generative sequence model combining an HMM class sequence with a document topic mixture, where one designated class emits words through la…	Curated	Model Families	`AIMech:CompositeHMMTopicModel`	2 claims 1 source
Consistency model aka Consistency models, CM (consistency model) A generative model family that learns a noise- or time-conditioned function mapping points on a probability-flow ODE trajectory to its commo…	Curated	Model Families	`AIMech:ConsistencyModel`	2 claims 2 sources
Context-sensitive emission hidden Markov model A hidden-state sequence-model family with a first-order Markov prior whose observation distributions depend jointly on hidden states at mult…	Curated	Model Families	`AIMech:ContextSensitiveEmissionHiddenMarkovModel`	1 claim 1 source
Continuous-time Bayesian network A finite-state continuous-time model family combining a separate initial Bayesian-network distribution with a directed, possibly cyclic grap…	Curated	Model Families	`AIMech:ContinuousTimeBayesianNetwork`	6 claims 1 source
Correlated topic model aka CTM A mixed-membership topic model that draws each document's topic proportions from a logistic-normal distribution and generates its words thro…	Curated	Model Families	`AIMech:CorrelatedTopicModel`	2 claims 3 sources
Diagonal structured state space model aka S4D A diagonal state-space sequence-model family that computes its discretized convolution kernel by a Vandermonde product, with explicit choice…	Curated	Model Families	`AIMech:S4D`	1 claim 1 source
Dirichlet compound multinomial latent Dirichlet allocation aka DCM-LDA A topic-model family for grouped documents in which each group draws its own topic-word distributions from corpus-shared topic-specific Diri…	Curated	Model Families	`AIMech:DirichletCompoundMultinomialLDA`	3 claims 1 source
Dynamic topic model aka DTM A time-sliced topic-model family that links the softmax natural parameters of corresponding topic-word distributions across slices through G…	Curated	Model Families	`AIMech:DynamicTopicModel`	2 claims 1 source
Exponential generalized root model aka Exponential GRM A generalized root probability model on nonnegative continuous variables with exponential base measure and symmetric root-product interactio…	Curated	Model Families	`AIMech:ExponentialGeneralizedRootModel`	1 claim 1 source
Exponential square root graphical model aka Exponential SQR, Exponential square root Markov random field A graphical probability model on nonnegative continuous variables with unary square-root terms and symmetric products of square roots, deriv…	Curated	Model Families	`AIMech:ExponentialSquareRootGraphicalModel`	1 claim 2 sources
Exponential-family harmonium aka EFH A bipartite undirected model family coupling visible and hidden exponential-family sufficient statistics through bilinear interactions, with…	Curated	Model Families	`AIMech:ExponentialFamilyHarmonium`	3 claims 1 source
Factorial hidden Markov model aka FHMM, Factorial HMM A directed latent sequence-model family in which several independently evolving hidden Markov chains jointly determine the observation distr…	Curated	Model Families	`AIMech:FactorialHiddenMarkovModel`	1 claim 1 source
Family-of-harmonium aka FoH A classification model family comprising separately parameterized harmoniums for each class, with binary text features and Gaussian image fe…	Curated	Model Families	`AIMech:FamilyOfHarmonium`	3 claims 1 source
Fixed-length Poisson Markov random field aka LPMRF, Fixed-length Poisson MRF A finite-total count distribution whose probability on nonnegative integer vectors summing to a specified total is proportional to a Poisson…	Curated	Model Families	`AIMech:FixedLengthPoissonMarkovRandomField`	1 claim 2 sources
Fixed-length Poisson MRF topic model aka LPMRF topic model A probabilistic topic model that allocates a document total among topics, draws an independent fixed-length Poisson-MRF count vector for eac…	Curated	Model Families	`AIMech:FixedLengthPoissonMRFTopicModel`	1 claim 2 sources
Gamma filter aka Adaptive gamma filter, ADALINE(μ) A linear adaptive filter family that combines a direct input tap with weighted cascaded first-order gamma-memory traces, using one shared me…	Curated	Model Families	`AIMech:GammaFilter`	6 claims 1 source
Gaussian Factor Analysis aka Linear Gaussian Factor Analysis A linear Gaussian latent-variable model in which observed variables share a lower-dimensional Gaussian factor and have conditionally indepen…	Curated	Model Families	`AIMech:GaussianFactorAnalysis`	4 claims 1 source
Gaussian process regression aka GPR Probabilistic regression conditioning a Gaussian-process prior on observed training data.	Curated	Model Families	`AIMech:GaussianProcessRegression`	1 claim 1 source
Generalized component analysis aka GCA An undirected latent-component model family coupling categorical text and heterogeneous document attributes to positive lognormal hidden var…	Curated	Model Families	`AIMech:GeneralizedComponentAnalysis`	3 claims 1 source
Generalized root model aka Generalized root graphical model A family of finite undirected probability models that retains univariate exponential-family base measures and couples coordinatewise roots o…	Curated	Model Families	`AIMech:GeneralizedRootModel`	1 claim 1 source
Generative Topographic Mapping aka GTM A nonlinear latent-variable density model with a uniform discrete prior on fixed latent grid nodes, mapped through a shared smooth function…	Curated	Model Families	`AIMech:GenerativeTopographicMapping`	4 claims 1 source
Group-topic model aka GT model A probabilistic model family jointly assigning topics to relation-bearing events and topic-specific latent groups to entities, using event t…	Curated	Model Families	`AIMech:GroupTopicModel`	3 claims 1 source
Hammerstein model A real-valued, single-input single-output, discrete-time deterministic nonlinear dynamical model family formed by a memoryless static nonlin…	Curated	Model Families	`AIMech:HammersteinModel`	4 claims 1 source
Hammerstein–Wiener model A real-valued, single-input single-output, discrete-time deterministic dynamical model family formed by a memoryless static input function,…	Curated	Model Families	`AIMech:HammersteinWienerModel`	4 claims 1 source
Hidden Markov decision tree aka HMDT A conditional latent sequence-model family that extends a probabilistic hierarchical decision tree by coupling each decision level to the sa…	Curated	Model Families	`AIMech:HiddenMarkovDecisionTree`	1 claim 1 source
Hidden Markov model aka HMM A sequence model whose hidden Markov states generate observations through state-dependent emission distributions.	Curated	Model Families	`AIMech:HiddenMarkovModel`	1 claim 1 source
Hidden Markov model with auxiliary memory aka Auxiliary-memory context-sensitive hidden Markov model A hidden-state symbol-sequence model family in which paired states write emitted symbols to auxiliary memory and later read them to conditio…	Curated	Model Families	`AIMech:HiddenMarkovModelWithAuxiliaryMemory`	1 claim 1 source
Hidden Markov random field aka HMRF, Hidden Markov field A latent-variable graphical-model family whose unobserved label field has the Markov property on a specified neighborhood graph, with observ…	Curated	Model Families	`AIMech:HiddenMarkovRandomField`	1 claim 1 source
Hidden Markov tree aka HMT A latent-variable model on a fixed rooted tree in which hidden states factor into a root distribution and conditionally independent parent-t…	Curated	Model Families	`AIMech:HiddenMarkovTree`	1 claim 1 source
Hidden semi-Markov model aka HSMM, Explicit-duration hidden Markov model… A latent-state sequence-model family that assigns explicit distributions to state sojourn durations, with state changes governed by an embed…	Curated	Model Families	`AIMech:HiddenSemiMarkovModel`	1 claim 1 source
Hidden–observed pair Markov random field aka Pairwise hidden–observed Markov field A latent-variable spatial-model family in which each site contains a hidden label and an observation, and their joint paired field has a nor…	Curated	Model Families	`AIMech:HiddenObservedPairMarkovRandomField`	1 claim 1 source
Hierarchical harmonium aka HH A labeled harmonium model family coupling binary words, Gaussian image features and binary category indicators to shared Gaussian latent var…	Curated	Model Families	`AIMech:HierarchicalHarmonium`	3 claims 1 source
Hierarchical mixture of experts aka HME A conditional mixture-model family that organizes output experts as leaves of a tree and forms each leaf’s mixture weight by multiplying inp…	Curated	Model Families	`AIMech:HierarchicalMixtureOfExperts`	1 claim 1 source
Hierarchical pachinko allocation model aka hPAM A pachinko topic-model family that associates word-emission distributions with internal topic nodes as well as terminal topics, allowing doc…	Curated	Model Families	`AIMech:HierarchicalPachinkoAllocationModel`	3 claims 1 source
Input-output hidden Markov model aka IOHMM, Input-output HMM A conditional latent sequence-model family whose discrete hidden-state transitions and state-specific observation distributions depend on th…	Curated	Model Families	`AIMech:InputOutputHiddenMarkovModel`	1 claim 1 source
Joint term-citation model A latent-factor document model that shares each document's fixed topic proportions between categorical term and citation-incidence channels,…	Curated	Model Families	`AIMech:JointTermCitationModel`	2 claims 1 source
Latent Dirichlet allocation A hierarchical model for collections of discrete observations in which each document draws a Dirichlet-distributed mixture over a fixed fini…	Curated	Model Families	`AIMech:LatentDirichletAllocation`	1 claim 1 source
Linear discriminant analysis aka LDA Gaussian discriminant classification sharing one covariance matrix across classes.	Curated	Model Families	`AIMech:LinearDiscriminantAnalysis`	1 claim 1 source
Markov decision process aka MDP A sequential decision model with states, actions, Markov transitions, and rewards.	Curated	Model Families	`AIMech:MarkovDecisionProcess`	1 claim 1 source
Markov random field aka MRF, Markov network An undirected graphical probability model associating potential functions with variable groups.	Curated	Model Families	`AIMech:MarkovRandomField`	1 claim 1 source
Memory Network aka Memory Networks A family of learning models that combines an addressable memory with input conversion, memory updating, output inference and response compon…	Curated	Model Families	`AIMech:MemoryNetwork`	6 claims 1 source
Mixed memory Markov model A family of compact temporal probability models whose component transition distributions are convex mixtures of transition tables indexed by…	Curated	Model Families	`AIMech:MixedMemoryMarkovModel`	1 claim 1 source
Mixed-membership model for scientific publications A generative document model in which one Dirichlet-distributed membership vector mixes aspect-specific word distributions for an abstract an…	Curated	Model Families	`AIMech:MixedMembershipModelForScientificPublications`	2 claims 1 source
Mixtures of Probabilistic Principal Component Analyzers aka Mixtures of Probabilistic PCA, MPPCA… A finite Gaussian mixture whose components each have a linear standard-normal latent factor and component-specific isotropic observation noi…	Curated	Model Families	`AIMech:MixturesOfProbabilisticPCA`	5 claims 1 source
Multi-label text mixture model A generative multi-label document model that selects a label subset and a mixture supported on that subset, then generates each word through…	Curated	Model Families	`AIMech:MultiLabelTextMixtureModel`	2 claims 1 source
Naive Bayes aka Naive Bayesian classifier Probabilistic classification assuming feature independence conditional on the class.	Curated	Model Families	`AIMech:NaiveBayes`	1 claim 1 source
Nonlinear autoregressive model with exogenous inputs aka NARX model, Nonlinear autoregressive exogenous model A discrete-time nonlinear input-output model family whose current output is a function of finite lagged outputs and exogenous inputs, plus a…	Curated	Model Families	`AIMech:NonlinearAutoregressiveExogenousModel`	6 claims 2 sources
Nonlinear autoregressive moving average model with exogenous inputs aka NARMAX model A discrete-time nonlinear input-output model family whose current output is a function of finite lagged outputs, exogenous inputs and errors…	Curated	Model Families	`AIMech:NonlinearAutoregressiveMovingAverageExogenousModel`	6 claims 2 sources
Nonparametric Bayes pachinko allocation model aka NPB PAM, nonparametric PAM A Bayesian pachinko topic-model family using coupled hierarchical Dirichlet-process allocations to infer occupied supertopics and shared sub…	Curated	Model Families	`AIMech:NonparametricBayesPachinkoAllocationModel`	3 claims 1 source
Pachinko allocation model aka PAM A topic-model family that generates each word by traversing a directed acyclic graph from a root through topic nodes to a word leaf, using p…	Curated	Model Families	`AIMech:PachinkoAllocationModel`	2 claims 1 source
Pachinko allocation topics over time model aka PAMTOT A topic-model family combining pachinko allocation paths with topic-specific continuous timestamp densities at multiple path levels, so that…	Curated	Model Families	`AIMech:PachinkoAllocationTopicsOverTimeModel`	3 claims 1 source
Pairwise Markov chain aka PMC A hidden-state sequence-model family in which the joint process of a hidden variable and its corresponding observation is first-order Markov…	Curated	Model Families	`AIMech:PairwiseMarkovChain`	1 claim 1 source
Pairwise Markov tree aka Arbre de Markov couple A latent-variable tree-model family whose paired hidden and observed states factor into a root distribution and parent-to-child conditional…	Curated	Model Families	`AIMech:PairwiseMarkovTree`	1 claim 1 source
Partially observable Markov decision process aka POMDP A Markov decision model in which observations provide incomplete information about the current state.	Curated	Model Families	`AIMech:PartiallyObservableMarkovDecisionProcess`	1 claim 1 source
Poisson generalized root model aka Poisson GRM A generalized root probability model on unbounded nonnegative integer counts, with factorial base measures and symmetric products of j-th ro…	Curated	Model Families	`AIMech:PoissonGeneralizedRootModel`	1 claim 1 source
Poisson square root graphical model aka Poisson SQR, Poisson square root Markov random field A square-root graphical model on unbounded nonnegative integer counts with factorial base measures, unary square-root and linear count terms…	Curated	Model Families	`AIMech:PoissonSquareRootGraphicalModel`	1 claim 2 sources
Probabilistic latent semantic analysis aka PLSA, Probabilistic latent semantic indexing… A latent-class model of document–word or other dyadic co-occurrences that represents their joint probability as a mixture of conditionally i…	Curated	Model Families	`AIMech:ProbabilisticLatentSemanticAnalysis`	1 claim 2 sources
Probabilistic Principal Component Analysis aka PPCA A linear Gaussian latent-variable model with a standard-normal latent prior and isotropic observation noise, whose maximum-likelihood loadin…	Curated	Model Families	`AIMech:ProbabilisticPCA`	4 claims 1 source
Product of experts aka PoE, Products of experts A probabilistic model family that combines expert factors over the same observations by multiplying their values and normalizing the product…	Curated	Model Families	`AIMech:ProductOfExperts`	1 claim 2 sources
Product of hidden Markov models aka PoHMM, Products of hidden Markov models A sequence-model family that multiplies the marginal probabilities assigned to a complete observation sequence by several hidden Markov mode…	Curated	Model Families	`AIMech:ProductOfHiddenMarkovModels`	1 claim 2 sources
Product of Student-t aka Product of Student-t Model, PoT A normalized energy-based density on continuous observations formed from products of Student-t-shaped factors of linear filter responses, wi…	Curated	Model Families	`AIMech:ProductOfStudentT`	4 claims 1 source
Quadratic discriminant analysis aka QDA Gaussian discriminant classification with class-specific covariance matrices.	Curated	Model Families	`AIMech:QuadraticDiscriminantAnalysis`	1 claim 1 source
Quadratic Poisson graphical model aka QPGM, Quadratic Poisson Markov random field A graphical probability model on nonnegative integer counts whose joint log mass contains unary linear terms, site quadratic terms and symme…	Curated	Model Families	`AIMech:QuadraticPoissonGraphicalModel`	1 claim 2 sources
Rate-adapting Poisson model aka RAP A harmonium model family coupling unbounded visible Poisson counts to finite binomial hidden variables through bilinear interactions that sh…	Curated	Model Families	`AIMech:RateAdaptingPoissonModel`	3 claims 1 source
Restricted Boltzmann Machine Collaborative Filtering aka RBM collaborative filtering, RBM-CF A family of shared-parameter restricted Boltzmann models for categorical user-item ratings, with a user-specific visible set and optional co…	Curated	Model Families	`AIMech:RestrictedBoltzmannMachineCollaborativeFiltering`	4 claims 1 source
Role-author-recipient-topic model aka RART A family of message-content models in which actors have latent-role distributions and ordered sender-role/recipient-role pairs determine top…	Curated	Model Families	`AIMech:RoleAuthorRecipientTopicModel`	2 claims 1 source
Sparse additive generative model aka SAGE A generative model family for categorical text data that forms word probabilities by normalizing a background log-frequency vector plus spar…	Curated	Model Families	`AIMech:SparseAdditiveGenerativeModel`	1 claim 1 source
Sparse-spectrum Gaussian-process regression aka SSGP, Sparse spectrum Gaussian process A Gaussian-process regression model family whose latent prior is a finite sum of paired sine and cosine features with independent Gaussian c…	Curated	Model Families	`AIMech:SparseSpectrumGaussianProcessRegression`	6 claims 2 sources
Square root graphical model aka SQR, Square root Markov random field A family of finite undirected graphical probability models that retains univariate base measures while coupling specified square roots of su…	Curated	Model Families	`AIMech:SquareRootGraphicalModel`	1 claim 2 sources
Structured state space sequence model aka S4 A structured linear state-space sequence model whose normal-plus-low-rank state matrix is transformed to diagonal-plus-low-rank form for eff…	Curated	Model Families	`AIMech:S4`	1 claim 1 source
Sublinear Poisson graphical model aka SPGM, Sublinear Poisson Markov random field A finite-graph model for unbounded nonnegative integer counts that retains factorial base measures while replacing counts in unary and pairw…	Curated	Model Families	`AIMech:SublinearPoissonGraphicalModel`	1 claim 2 sources
Topical n-gram model aka TNG A topic-conditioned sequence model that chooses whether each word uses a topic-specific unigram distribution or a topic-and-previous-word bi…	Curated	Model Families	`AIMech:TopicalNGramModel`	2 claims 1 source
Topics over Time model aka TOT A topic-model family combining fixed topic-word distributions with topic-specific continuous timestamp densities, so that words and their ob…	Curated	Model Families	`AIMech:TopicsOverTimeModel`	2 claims 1 source
Topographic Independent Component Analysis aka Topographic ICA, TICA A linear latent-component model whose otherwise conditionally independent source components share random scales through fixed overlapping ne…	Curated	Model Families	`AIMech:TopographicICA`	4 claims 1 source
Triplet Markov chain aka TMC A latent-variable sequence-model family that introduces an auxiliary process so that the joint hidden, auxiliary and observed process is fir…	Curated	Model Families	`AIMech:TripletMarkovChain`	1 claim 1 source
Triplet Markov field aka TMF A latent-variable spatial-model family that introduces an auxiliary field so the complete hidden, auxiliary and observed triplet has a norma…	Curated	Model Families	`AIMech:TripletMarkovField`	1 claim 1 source
Truncated Poisson graphical model aka TPGM, Truncated Poisson Markov random field A finite pairwise count graphical model with a fixed upper count limit, factorial base measures and Poisson-kernel full conditionals renorma…	Curated	Model Families	`AIMech:TruncatedPoissonGraphicalModel`	1 claim 2 sources
Voting classifier aka Hard voting, Soft voting A classifier combining base predictions through class votes or aggregated class probabilities.	Curated	Model Families	`AIMech:VotingClassifier`	1 claim 1 source
Wavelet-domain hidden Markov model aka Wavelet hidden Markov model, Wavelet-domain HMM A statistical wavelet-coefficient model family using latent mixture states to represent coefficient distributions and Markov dependencies am…	Curated	Model Families	`AIMech:WaveletHiddenMarkovModel`	1 claim 1 source
Wiener model A real-valued, single-input single-output, discrete-time deterministic nonlinear dynamical model family formed by a causal linear time-invar…	Curated	Model Families	`AIMech:WienerModel`	4 claims 1 source
Wiener–Hammerstein model A real-valued, single-input single-output, discrete-time deterministic dynamical model family formed by a causal linear time-invariant block…	Curated	Model Families	`AIMech:WienerHammersteinModel`	4 claims 1 source