Get to know Subtasks better with 4 real example sentences, the meaning.
Subtasks meaning
plural of subtask
Using Subtasks
- The main meaning on this page is: plural of subtask
Context around Subtasks
- Average sentence length in these examples: 32.8 words
- Position in the sentence: 1 start, 1 middle, 2 end
- Sentence types: 4 statements, 0 questions, 0 exclamations
Corpus analysis for Subtasks
- In this selection, "subtasks" usually appears near the end of the sentence. The average example has 32.8 words, and this corpus slice is mostly made up of statements.
- Around the word, multiple stand out and add context to how "subtasks" is used.
- Recognizable usage signals include comprising multiple subtasks and delineation of subtasks to which. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "subtasks" sits close to words such as aaai, aani and aarne, which helps place it inside the broader word index.
Example types with subtasks
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Note that some of these tasks have direct real-world applications, while others more commonly serve as subtasks that are used to aid in solving larger tasks. (27 words)
From IOI 2010, tasks are divided into subtasks with graduated difficulty, and points are awarded only when all tests for a particular subtask yield correct results, within specific time and memory limits. (32 words)
Artificial neural networks are similar to biological neural networks in the performing by its units of functions collectively and in parallel, rather than by a clear delineation of subtasks to which individual units are assigned. (35 words)
Such models are generally more robust when given unfamiliar input, especially input that contains errors (as is very common for real-world data), and produce more reliable results when integrated into a larger system comprising multiple subtasks. (37 words)
Artificial neural networks are similar to biological neural networks in the performing by its units of functions collectively and in parallel, rather than by a clear delineation of subtasks to which individual units are assigned. (35 words)
From IOI 2010, tasks are divided into subtasks with graduated difficulty, and points are awarded only when all tests for a particular subtask yield correct results, within specific time and memory limits. (32 words)
Example sentences (4)
Artificial neural networks are similar to biological neural networks in the performing by its units of functions collectively and in parallel, rather than by a clear delineation of subtasks to which individual units are assigned.
From IOI 2010, tasks are divided into subtasks with graduated difficulty, and points are awarded only when all tests for a particular subtask yield correct results, within specific time and memory limits.
Note that some of these tasks have direct real-world applications, while others more commonly serve as subtasks that are used to aid in solving larger tasks.
Such models are generally more robust when given unfamiliar input, especially input that contains errors (as is very common for real-world data), and produce more reliable results when integrated into a larger system comprising multiple subtasks.