Sentence examples for made algorithm from inspiring English sources

Exact(1)

The original MADE algorithm used a series of n conditions C1, C2,..., C n, and n - 1 sets of expression data describing the changes C1 → C2, C2 → C3,..., C n -1 → C n. TIGER MADE allows any number of connections between the n states.

Similar(59)

But computers have made algorithms far more valuable to companies.

It makes Algorithm 6 more generic for all possible workloads.

Also, smaller n p and ε make Algorithm A easier to converge.

This priority is achieved through weight assignment and modifying the scheduling decision making algorithm of CAPS.

Finally, improvement may also be obtained by making algorithm parameters more adaptable to video content.

The first algorithm is subgradient iteration based distributed decision making algorithm and the second algorithm is based on lower bound and upper bound switching.

An optimized decision making algorithm might be able to make tighter control possible.

While only few training examples are used to learn classifier, over-fitting may occur and makes algorithm unstable.

The source code is translated (compiled) into machine language, which makes algorithm execution more efficient because the code is executed directly by the processor.

But each solved puzzle can be used to make algorithms for bots smarter.

Show more...

Ludwig, your English writing platform

Write better and faster with AI suggestions while staying true to your unique style.

Student

Used by millions of students, scientific researchers, professional translators and editors from all over the world!

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

Get started for free

Unlock your writing potential with Ludwig

Letters

Most frequent sentences: