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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 “tradaboost”

Weighted Multisource Tradaboostcs.LG

Improved transfer learning method considers target and source data balance.

problem Improving transfer learning performance with varying target and source data.

method Weighted Multisource Tradaboost builds on Multisource Tradaboost, weighting datapoint importance based on data availability.

result The proposed method outperforms the base method as target sample count increases.

transfer learning multisource tradaboost weighting data balance

2019-03-26abs ↗pdf ↗

ISTRBoost: Importance Sampling Transfer Regression using Boostingcs.LG

A new boosting method reduces overfitting and negative transfer in transfer learning.

problem Overfitting and negative transfer in transfer learning.

method Importance sampling in boosting and random-forest based ensemble methodology.

result Performs better than competitive transfer learning methodologies 63% of the time.

transfer learning boosting importance sampling overfitting negative transfer

2022-04-26abs ↗pdf ↗