This article shows that decision trees constructed with Classification and Regression Trees (CART) and C4.5 methodology are consistent for regression and classification tasks, even when the number of predictor
In recent years, large-scale artificial intelligence (AI) models have become a focal point in technology, attracting widespread attention and acclaim. Notable examples include Google’s BERT and OpenAI’s GPT, which have scaled their parameter sizes to hundreds of billions or even tens of trillions...
avoids the computational complexity of XGBoost in the tree building process by only splitting the nodes with the greatest gain in each layer, allowing the model to grow asymmetric and deeper decision trees.Compared to traditional GBDT, LightGBM exhibits more advantages in processing large-scale ...
Scaling Gradient Boosted Trees for Click-Through-Rate Prediction at Yelp Learning with Privacy at Scale at Apple Deep Learning for Image Classification Experiment at Mercari Deep Learning for Frame Detection in Product Images at Allegro Content-based Video Relevance Prediction at Hulu ...
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods are
The recent emergence of technologies for large-scale measurements of protein levels13,14 has allowed for the identification of new protein biomarkers predictive of ASCVD events.15-20 The objective of this study was to evaluate the utility of protein risk scores for prediction of ASCVD events ...
decision trees of the respective RF, and the standard deviation of MC dropout predictions. These two algorithms were also evaluated in addition to the ensembles generated by subsampling. Hereby, a single 10-fold CV was performed to produce one prediction per compound, with again all other ...
Deploying LLMs at scale is a complex engineering task that may require multiple GPU clusters. However, demos and local applications can often be achieved with significantly less complexity. CategoryDetails Local deployment Privacy is an important advantage that open-source LLMs have...
One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written lang
Recent large language models (LLMs), such as ChatGPT, have demonstrated remarkable prediction performance for a growing array of tasks. However, their proliferation into high-stakes domains and compute-limited settings has created a burgeoning need for i