and information science, the binary independence model (BIM) is a probabilistic information retrieval technique. The model makes some simple assumptions...

original BM25 derivation, the IDF component is derived from the Binary Independence Model. Here is an interpretation from information theory. Suppose a...

other concerns, other models have been developed from the probabilistic relevance framework, among them the Binary Independence Model from the same author...

probability in one of the fundamental probabilistic retrieval models, the Binary Independence Model. They developed novel term weight prediction methods that...

of a logistic model (the coefficients in the linear or non linear combinations). In binary logistic regression there is a single binary dependent variable...

like Bayes' theorem are often used in these models. Binary Independence Model Probabilistic relevance model on which is based the okapi (BM25) relevance...

produced by bim gene BiM, abbreviation for bimetal BiM, Binary MPEG format for XML Binary Independence Model, a probabilistic information retrieval technique...

choice models to investigate parameters that drive habitat selection in animals. Discrete choice models take many forms, including: Binary Logit, Binary Probit...

a binary operation or dyadic operation is a rule for combining two elements (called operands) to produce another element. More formally, a binary operation...

Independence of irrelevant alternatives (IIA) is an axiom of decision theory which codifies the intuition that a choice between A {\displaystyle A} and...

In mathematics, a binary relation associates some elements of one set called the domain with some elements of another set (possibly the same) called the...

are not affected by spoilers are said to be spoilerproof and satisfy independence of irrelevant alternatives. The frequency and severity of spoiler effects...

possibility. This allows the choice of K alternatives to be modeled as a set of K − 1 independent binary choices, in which one alternative is chosen as a "pivot"...

A fat binary (or multiarchitecture binary) is a computer executable program or library which has been expanded (or "fattened") with code native to multiple...

can be reformulated with One versus Rest binary models : for any i {\displaystyle i} , we define the binary target variable y i {\displaystyle y_{i}}...

accounting for deeply associated continuous and binary traits. In matrix notation a linear mixed model can be represented as y = X β + Z u + ϵ {\displaystyle...

Generalized Binary ICA framework introduces a broader problem formulation which does not necessitate any knowledge on the generative model. In other words...

interoperability and platform independence. In computer science, an abstraction layer is a generalization of a conceptual model or algorithm, away from any...

Model-theoretic grammars, also known as constraint-based grammars, contrast with generative grammars in the way they define sets of sentences: they state...

mathematics, and in particular model theory, a prime model is a model that is as simple as possible. Specifically, a model P {\displaystyle P} is prime...

regression model would be to add an additional independent categorical variable to account for the location (i.e. a set of additional binary predictors...

identifier class being used). The values may be in plain text or encoded as pure binary (in which case the value is preceded by a length field). The FIX protocol...

In astronomy, the geocentric model (also known as geocentrism, often exemplified specifically by the Ptolemaic system) is a superseded description of...

in our countable model. Particularly the proof of the independence of the continuum hypothesis requires considering sets in models which appear to be...

abstract model theory is a generalization of model theory that studies the general properties of extensions of first-order logic and their models. Abstract...

Note that this model allows for arbitrary correlation between the error variables, so that it doesn't necessarily respect independence of irrelevant alternatives...

regression model, which implies that the response variable itself has a log-normal distribution rather than a normal distribution). Independence of errors...

In statistics, an errors-in-variables model or a measurement error model is a regression model that accounts for measurement errors in the independent...

characters in ASCII encoding. Binary protocols are intended to be read by a machine rather than a human being. Binary protocols have the advantage of...

substructure, an extension of A. In the language consisting of the binary operations + and ×, binary relation <, and constants 0 and 1, the structure (Q, +, ×...