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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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2 results for “HDMR”

High Dimensional Model Representation as a Glass Box in Supervised Machine Learningstat.ME

HDMR provides insights into machine learning models, aiding in both prediction and explanation.

problem Understanding and interpreting complex machine learning models.

method High Dimensional Model Representation (HDMR) and its applications in machine learning.

result HDMR offers a glass box approach to machine learning models, enhancing both prediction and explanation.

HDMR machine learning glass box interpretability prediction

2018-07-26abs ↗pdf ↗

Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodstat.CO

RS-HDMR-GPR simplifies complex functions with machine-learned lower-dimensional terms.

problem Representing and understanding complex multidimensional functions with sparse data.

method Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR).

result Facilitates recovery of functional dependence and adds insight into input variable importance.

machine learning multidimensional functions sparse data functional dependence input variable importance

2020-11-24abs ↗pdf ↗