Sentence examples for general constraint from inspiring English sources

Complementing the success of declarative models of syntax in the empirical domain, this has also made such models the first choice for natural language processing, where a wide range of algorithms, from parsers and generators to more general constraint resolvers, have been developed to process with them.

We propose that cotranslational regulation of nascent-chain fate may be a general constraint shaping codon usage in the genome.

In this paper structural design of parallel manipulators with general constraint one regarding angular and linear-angular conditions are considered.

In general, constraint scopes comprise an arbitrary number of variables, and thus this structure may be naturally encoded via hypergraphs.

A novel artificial neural network heuristic (INN) for general constraint satisfaction problems is presented, extending a recently suggested method restricted to boolean variables.

The complex Chebyshev error criterion is usually used as a general constraint in design of peak constraint weighted least square error (PCWLSE) filters.

We present a new learning scheme for solvers of the Constraint Satisfaction Problem (CSP), which is based on learning (general) constraints rather than the generalized no-goods or signed-clauses that were used in the past.

A recent approach based in Maximum Entropy Harmonic Grammar (MaxEnt) makes use of general constraints that putatively capture statistical generalizations across the lexicon, as well as lexical constraints governing the behavior of individual words.

A generality bias is therefore attributed to learners, whereby they privilege general constraints over lexical ones.

Algorithm TREE diagnoses systems containing functional components and algorithm TREE∗ diagnoses more general constraint-based components.

The general constraints imposed by a small ring are discussed.