A memory-based learning system is an extended memory management system that decomposes the input space either statically or dynamically into subregions for the purpose of storing and retrieving functional information.
Memory-Based Learning (MBL) is a simple function approximation method whose roots go back at least to 1910. Training a memory based learner is an almost trivial operation: just store each data point in memory (or a database). Making a prediction about the output that will result from some input attributes based on the data is done by looking for similar points in memory, fitting a local model to those points, and then making a prediction based on the model.
This Resource Covers:
1. Meaning of MBL
2. Memory Types
3. MBL Synonyms
4. MBL Components
5. MBL Systems
6. MBL Process
7. MBL Advantages
8. MBL Resources
Memory-Based Learning (MBL) is a simple function approximation method whose roots go back at least to 1910. Training a memory based learner is an almost trivial operation: just store each data point in memory (or a database). Making a prediction about the output that will result from some input attributes based on the data is done by looking for similar points in memory, fitting a local model to those points, and then making a prediction based on the model.
This Resource Covers:
1. Meaning of MBL
2. Memory Types
3. MBL Synonyms
4. MBL Components
5. MBL Systems
6. MBL Process
7. MBL Advantages
8. MBL Resources
Something went wrong, please try again later.
Excellent work!
Report this resourceto let us know if it violates our terms and conditions.
Our customer service team will review your report and will be in touch.
£0.00