Instance-based algorithms vs Instance-based learning

Both phrases are correct, but they are used in different contexts. 'Instance-based algorithms' refer to algorithms that make predictions based on specific instances or examples, while 'instance-based learning' refers to a type of machine learning where the system learns from specific instances or examples. Therefore, the choice between the two phrases depends on whether you are referring to the algorithms themselves or the learning approach.

Last updated: March 23, 2024 • 877 views

Instance-based algorithms

This phrase is correct and commonly used in the context of algorithms that make predictions based on specific instances or examples.

This phrase is used to describe algorithms that rely on specific instances or examples to make predictions or decisions.

Examples:

K-Nearest Neighbors is an example of instance-based algorithms.
Instance-based algorithms are particularly useful in classification tasks.

Show examples from the web [+]

To the cinepal algorithms at almost every story point.
Other compression algorithms or uncompressed images must not be used.
(6) The algorithms shall run flexibly by setting a pre-defined time lag between the application of different algorithms to ensure a minimum interval between the running of two algorithms.
For that we used artificial evolution - genetic algorithms.
In some cases, there would actually be algorithms, and very sophisticated algorithms.
Algorithms should be integrated into a software concept that would offer users full control and the possibility of overriding the suggestions made by the algorithms.
I need to keep running algorithms on skull's possible plans.
When I'm the one who figured out the algorithms.
The ISEA uses the same three algorithms on all encryptions.
According to my algorithms, that would be enough time for the environment to reset.
I could write unique tracking algorithms for each one.
You can write unique tracking algorithms to find the infinity stones.
We also need you to create tracking algorithms to find these infinity stones.
Other than that, our algorithms didn't pick up any patterns.
The government's been experimenting with better factoring algorithms.
Firms like DCFI pay a fortune for their trading algorithms.
But with the right input algorithms...
You're talking about evolutionary algorithms, genetic programming.
New data, algorithms, new everything.
Tell him to look for dark pool algorithms.

Alternatives:

example-based algorithms
case-based algorithms
instance-specific algorithms
individual-based algorithms
particular-based algorithms

Instance-based learning

This phrase is correct and commonly used in the context of machine learning where the system learns from specific instances or examples.

This phrase is used to describe a type of machine learning approach where the system learns from specific instances or examples rather than abstracting general rules.

Examples:

In instance-based learning, the system stores specific instances and uses them for future predictions.
Instance-based learning is often used in pattern recognition tasks.

Show examples from the web [+]

So adult learning has a vital role in lifelong learning strategies.
technology-enhanced learning; adaptive and contextualised learning solutions; active learning;
technology-enhanced learning; adaptive and contextualised learning solutions; active learning,
Miss Sparrow, who makes learning fun and adventurous.
Learning control wasn't easy for her.
Kindergarten is a place where learning should be fun.
The learning hall was no mere school.
Freya thought learning to swim would help his confidence.
Master is exhausted, always learning his examinations.
Betsy White said she's learning CPR.
Christmas is all about learning new things.
Learning their ways requires some patience.
's actually learning how the law works.
It was a real learning experience.
Learning more about my favorite stewardess.
Learning all the basics on YouTube.
This is an institution of higher learning.
Evolving, learning, searching, instinctively needing.
One is this: They individualize teaching and learning.
George Washington Carver says all learning is understanding relationships.

Alternatives:

example-based learning
case-based learning
instance-specific learning
individual-based learning
particular-based learning

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Instance-based algorithms vs Instance-based learning