Synsets for "latent"

Synset: latent.s.01

Synonyms: latent

Part of Speech: ADJECTIVE SATELLITE

Definition: potentially existing but not presently evident or realized

Examples: a latent fingerprint | latent talent

Lemmas: latent

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Synset: latent.s.02

Synonyms: latent

Part of Speech: ADJECTIVE SATELLITE

Definition: (pathology) not presently active

Examples: latent infection | latent diabetes

Lemmas: latent

Hypernym:

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Latent variable model In factor analysis and latent trait analysis the latent variables are treated as continuous normally distributed variables, and in latent profile analysis and latent class analysis as from a multinomial distribution. The manifest variables in factor analysis and latent profile analysis are continuous and in most cases, their conditional distribution given the latent variables is assumed to be normal. In latent trait analysis and latent class analysis, the manifest variables are discrete. These variables could be dichotomous, ordinal or nominal variables. Their conditional distributions are assumed to be binomial or multinomial.
Latent class model In statistics, a latent class model (LCM) relates a set of observed (usually discrete) multivariate variables to a set of latent variables. It is a type of latent variable model. It is called a latent class model because the latent variable is discrete. A class is characterized by a pattern of conditional probabilities that indicate the chance that variables take on certain values.
Latent learning There have been several investigations of the neural processes involved in latent learning. In one study, patients with medial temporal amnesia had particular difficulty with a latent learning task which required representational processing. Another study, conducted with mice, found intriguing evidence that the absence of a prion protein disrupts latent learning and other memory functions in the water maze latent learning task, while phencyclidine was found to impair latent learning in a water finding task.
Latent semantic structure indexing Latent semantic structure indexing (LaSSI) is a technique for calculating chemical similarity derived from latent semantic analysis (LSA).
Latent internal energy For every type of latent internal energy there is an opposite. For example, the latent internal energy of Freezing (liquid to solid) is equal to the negative of the Latent internal energy of melting (solid to liquid)
Probabilistic latent semantic analysis Compared to standard latent semantic analysis which stems from linear algebra and downsizes the occurrence tables (usually via a singular value decomposition), probabilistic latent semantic analysis is based on a mixture decomposition derived from a latent class model.
Latent variable model A latent variable model is a statistical model that relates a set of variables (so-called "manifest variables") to a set of latent variables.
Conditional random field Latent-dynamic conditional random fields (LDCRF) or discriminative probabilistic latent variable models (DPLVM) are a type of CRFs for sequence tagging tasks. They are latent variable models that are trained discriminatively.
Latent image HIRF is due to creation of many latent subimages that are not developable due to small size. Because of brief and intense exposure, many photoelectrons are created simultaneously. They make many latent subimages (that cannot render the crystal developable), rather than one or a few latent images (that can).
Latent tuberculosis The treatment of latent tuberculosis infection (LTBI) is essential to controlling and eliminating TB by reducing the risk that TB infection will progress to disease. Latent tuberculosis will convert to active tuberculosis in 10% of cases (or more in cases of immune compromised patients). Taking medication for latent tuberculosis is recommended by many doctors.
Latent heat The original usage of the term, as introduced by Black, was applied to systems that were intentionally held at constant temperature. Such usage referred to "latent heat of expansion" and several other related latent heats. These latent heats are defined independently of the conceptual framework of thermodynamics.
Latent heat Two common forms of latent heat are latent heat of fusion (melting) and latent heat of vaporization (boiling). These names describe the direction of energy flow when changing from one phase to the next: from solid to liquid, and liquid to gas.
Infection Symptomatic infections are "apparent" and "clinical", whereas an infection that is active but does not produce noticeable symptoms may be called "inapparent," "silent," "subclinical", or occult. An infection that is inactive or dormant is called a "latent infection". An example of a latent bacterial infection is latent tuberculosis. Some viral infections can also be latent, examples of latent viral infections are any of those from the "Herpesviridae" family.
Latent heat When a body is heated at constant temperature by thermal radiation in a microwave field for example, it may expand by an amount described by its "latent heat with respect to volume" or "latent heat of expansion", or increase its pressure by an amount described by its "latent heat with respect to pressure".
Buddhism and psychology The early Buddhist texts such as the Pali Canon present a theory about latent mental tendencies ("Anusaya", "latent bias," "predisposition", "latent disposition") which are pre-conscious or non-conscious These habitual patterns are later termed "Vāsanā" (impression) by the later Yogacara Buddhists and were held to reside in an unconscious mental layer. The term "fetter" is also associated with the latent tendencies.
Latent class model Within each latent class, the observed variables are statistically independent. This is an important aspect. Usually the observed variables are statistically dependent. By introducing the latent variable, independence is restored in the sense that within classes variables are independent (local independence). We then say that the association between the observed variables is explained by the classes of the latent variable (McCutcheon, 1987).
Latent extinction risk Because latent risk is the discrepancy between current and predicted risks, estimates of both of these values are required (See population modeling and population dynamics). Once these values are known, the latent extinction risk can be calculated as "Predicted Risk - Current Risk = Latent Extinction Risk."
Latent variable Latent variables, as created by factor analytic methods, generally represent "shared" variance, or the degree to which variables "move" together. Variables that have no correlation cannot result in a latent construct based on the common factor model.
Latent variable Bayesian statistics is often used for inferring latent variables.
Latent Anxiety Ilja describes the musical style of Latent Anxiety as: