QXGB
PulseAugur coverage of QXGB — every cluster mentioning QXGB across labs, papers, and developer communities, ranked by signal.
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XGBoost enhanced for improved prediction and robustness · 2 papers
Two new research papers propose enhancements to the XGBoost algorithm for improved regression and prediction. The first paper introduces QXGB, a quantile-based gradient boosting framework that uses a convolution smoothe…
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New FQTree algorithm optimizes boosted decision trees for hardware deployment
Researchers have developed FQTree, a novel algorithm for fine-grained quantization-aware training of boosted decision trees (BDTs). This method, coupled with the QXGB framework for automatic hardware generation, enables…
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FQTree algorithm enables efficient hardware deployment of boosted decision trees
Researchers have developed FQTree, a novel algorithm for fine-grained quantization-aware training of boosted decision trees (BDTs). This method, coupled with the QXGB framework for automatic hardware generation, address…