Examples of using Simple algorithm in English and their translations into Chinese
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So it's a very simple algorithm.
This simple algorithm is called k-Nearest Neighbors regression(in this example, k= 3).
The AI's smarts for playingTic Tac Toe will follow a simple algorithm.
The complexity of simple algorithms and data structures in JS.
All the roots of any number, real or complex,may be found with a simple algorithm.
Today I needed a simple algorithm for checking if a number is a power of 2.
This capability to read and write allows NTMs to perform many simple algorithms, previously beyond neural networks.
A simple algorithm might involve rotating a character of a message by 13 positions-- referred to as rot13.
The idea that there is a truly simple algorithm for intelligence is a bold idea.
So, simple algorithms(no fancy neural nets) are often the winning algorithms for such datasets.
A classic application of this approach is a simple algorithm that has saved the lives of hundreds of thousands of infants.
Right now, scientists are still testing that their quantum computers work,which means they have only been implementing simple algorithms.
Collaborative filtering is a simple algorithm to create a recommendation system based on user behavioral data.
Fancy data structures andalgorithms make faster IP routers, but simple algorithms will produce the same results.
Although this simple algorithm was able to recover many deleted registry elements, it had a number of significant shortcomings.
Different model training algorithms require different hyperparameters, some simple algorithms(such as ordinary least squares regression) require none.
It is a simple algorithm that stores all available cases and classifies new cases by a majority vote of its k neighbors.
They're so impressed by the amazing variety andflexibility of human thought that they conclude that a simple algorithm for intelligence must be impossible.
Naive Bayes(NB) is a very simple algorithm based on conditional probability and counting.
In this case, a simple algorithm like Naive Bayes, which deals much better with little data, would be the appropriate choice.
The NearestCentroid classifier is a simple algorithm that represents each class by the centroid of its members.
K nearest neighbors is a simple algorithm that stores all available cases and classifies new cases by a majority vote of its k neighbors.
Now, researchers at Google's DeepMind have developed a simple algorithm to handle such reasoning- and it has already beaten humans at a complex image comprehension test.
Google has documented how simple algorithms executed frequently against large datasets yield better results than other approaches using smaller sets.
It's not news that even simple algorithms can create unpredictable emergent behaviour- an insight that goes back to chaos theory and random number generators.
The second simplest algorithm is: combine two bits.
In other words, simpler algorithms only need a larger training dataset to generate accurate, valuable predictions for both payers and providers.
Rainbow tables are an application of an earlier, simpler algorithm by Martin Hellman.[1].
This permits much faster data access times, eliminates seek time associated with relational databases,requires simpler algorithms, and executes fewer CPU instructions.