Search results
Results from the WOW.Com Content Network
In computer science, a bidirectional map is an associative data structure in which the (,) pairs form a one-to-one correspondence. Thus the binary relation is functional in each direction: each v a l u e {\displaystyle value} can also be mapped to a unique k e y {\displaystyle key} .
Venn diagram of (true part in red) In logic and mathematics, the logical biconditional, also known as material biconditional or equivalence or bidirectional implication or biimplication or bientailment, is the logical connective used to conjoin two statements and to form the statement "if and only if" (often abbreviated as "iff " [1]), where is known as the antecedent, and the consequent.
Bidirectional associative memory (BAM) is a type of recurrent neural network. BAM was introduced by Bart Kosko in 1988. [1] There are two types of associative memory, auto-associative and hetero-associative. BAM is hetero-associative, meaning given a pattern it can return another pattern which is potentially of a different size.
Bidirectional model transformations are an important special case in which a model is input to such a program. Some bidirectional languages are bijective. The bijectivity of a language is a severe restriction of its power, [1] because a bijective language is merely relating two different ways to present the very same information.
Bidirectional recurrent neural networks (BRNN) connect two hidden layers of opposite directions to the same output. With this form of generative deep learning , the output layer can get information from past (backwards) and future (forward) states simultaneously.
Other possible sources of misguiding test results are: (1) not frequent enough or too frequent sampling, (2) nonlinear causal relationship, (3) time series nonstationarity and nonlinearity and (4) existence of rational expectations. [14] A similar test involving more variables can be applied with vector autoregression.
Relational frame theory argues that the building block of human language and higher cognition is relating, i.e. the human ability to create bidirectional links between things. It can be contrasted with associative learning , which discusses how animals form links between stimuli in the form of the strength of associations in memory.
Andrew Goldberg and others explained the correct termination conditions for the bidirectional version of Dijkstra’s Algorithm. [1] As in A* search, bi-directional search can be guided by a heuristic estimate of the remaining distance to the goal (in the forward tree) or from the start (in the backward tree).