Boosted Decision Trees and Applications
PulseAugur coverage of Boosted Decision Trees and Applications — every cluster mentioning Boosted Decision Trees and Applications across labs, papers, and developer communities, ranked by signal.
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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…
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Machine Learning applied to high-energy physics fits in new lecture notes
Researchers have developed new lecture notes detailing the application of Machine Learning (ML) surrogates for statistical fits in high-energy physics. These notes outline a comprehensive ML workflow, including the use …