Sentence examples for generalized decision from inspiring English sources
The hybrids of generalized decision trees and contextual rules are designed in static and dynamic versions.
Generalized decision trees predict places in the word where substitution, deletion and insertion of phonemes may occur.
To overcome these drawbacks, we have designed generalized decision trees, which can be trained using a medium-size corpus over groups of similar words to share information on pronunciation, instead of training a separate tree for every single word.
Figure 3, depicts the generalized decision tree describing all of the alternative strategies.
Celi, Zimolzak and Stone described an operational vision for a digitally based, generalized decision support system that they termed "Dynamic Clinical Data Mining" [ 20].
French-English bilinguals performed a generalized lexical decision experiment with mixed lists of French and English words and pseudo-words.
In the generalized lexical decision (GLD) task, however, bilinguals were informed that some words might be correct words in Dutch and English, because the language of the item is irrelevant in the GLD task they were instructed to press the "Yes" button to those words.
In the generalized lexical decision (GLD) task, participants were required to press a "Yes" button when a presented letter string is a word, irrespective of the language to which it belongs, and a "No" button when the string is not a word in any of the languages involved.
Recent work introduced Generalized First Order Decision Diagrams (GFODD) as a knowledge representation language that is useful in mechanizing decision theoretic planning in relational domains.
A binary program is developed to formulate the problem and provide the basis for analyzing the impact of IP on generalized best-matching decisions from two perspectives: Optimal cluster formation (fixed sets) and evolution (emergent sets).
The Logic Scoring of Preference (LSP) method is a generalized multicriteria evaluation (MCE) decision making approach with origins in soft computing.
