Definition of MINIMIZED. Meaning of MINIMIZED. Synonyms of MINIMIZED

Here you will find one or more explanations in English for the word MINIMIZED. Also in the bottom left of the page several parts of wikipedia pages related to the word MINIMIZED and, of course, MINIMIZED synonyms and on the right images related to the word MINIMIZED.

Definition of MINIMIZED

Minimized
Minimize Min"i*mize, v. t. [imp. & p. p. Minimized; p. pr. & vb. n. Minimizimg.] To reduce to the smallest part or proportion possible; to reduce to a minimum. --Bentham.

Meaning of MINIMIZED from wikipedia

- linguistics, a minimizer is a word or phrase that denotes a very small quantity which is used to reinforce negation. For example, red cent is a minimizer in the...
- In automata theory (a branch of theoretical computer science), DFA minimization is the task of transforming a given deterministic finite automaton (DFA)...
- In automata theory (a branch of theoretical computer science), NFA minimization is the task of transforming a given nondeterministic finite automaton (NFA)...
- Structural risk minimization (SRM) is an inductive principle of use in machine learning. Commonly in machine learning, a generalized model must be selected...
- Transition-minimized differential signaling (TMDS) is a technology for transmitting high-speed serial data used by the DVI and HDMI video interfaces,...
- Data minimization is the principle of collecting, processing and storing only the necessary amount of personal information required for a specific purpose...
- In microeconomics, the expenditure minimization problem is the dual of the utility maximization problem: "how much money do I need to reach a certain level...
- H. Ninke of Bell Labs disclosed a similar method, which they termed "minimized average error" using a larger kernel 1 48 [ − − # 7 5 3 5 7 5 3 1 3 5...
- field of com****tional chemistry, energy minimization (also called energy optimization, geometry minimization, or geometry optimization) is the process...
- Empirical risk minimization is a principle in statistical learning theory which defines a family of learning algorithms based on evaluating performance...