The phrase "assume information" is correct and usable in written English.
It can be used when discussing the act of taking certain information for granted or accepting it as true without verification.
Example: "In order to proceed with the analysis, we must assume information about the market trends based on previous data."
Alternatives: "presume data" or "take for granted information".
The technique does not perform decoding, utilize any coding metadata, or assume information about the structure describing the bit stream format of a codec.
Experiment 3 shows that these findings are only consistent with a model in which two representations of the same object location are mutually exclusive at both encoding and retrieval, and inconsistent with models that assume information from both representations is available.
Furthermore, leverage centrality does not assume information flows along the shortest path or in a serial fashion, but rather focuses on the disparity in node degrees in a small neighborhood to quantify consolidation and dissemination of information locally.
Never assume information from a person about him or herself are the facts, particularly if information has potentially unflattering content.
Assuming information you really don't know is one of the worst sins for a salesperson.
This game assumes information and computer networking are the next deadly weapons.
Traders, it seems, are herding animals, reacting to big changes by assuming information must support them and piling on.
Standard economic theory assigns a value to information based solely on its ability to improve decision-making, assuming information generates a positive value if it changes behavior.
Assuming information about the downgrade was confidential, it must also be material, which means a reasonable investor would consider it important.
Trained in an atmosphere that assumed information as classified, government employees are having to adjust to an openness unfamiliar and, for some, uncomfortable.
The principle of maximum entropy [26] asserts that the least biased probability distribution satisfying a set of constraints is the maximum entropy distribution, and any other distribution would be assuming information not captured by the constraints.
