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 variables grows sub-exponentially with the sample size, under natural 0-norm and 1-norm ...
The use of decision tree statistical models (CART, RF, BRT) enables the integration of numerical as well as categorical variables into one prediction approach. The models are trained with a point data set of groundwater nitrate concentrations with exclusively spatial environmental predictors. The ...
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
It is insightful to report an estimator that describes how certain a model is in a prediction, additionally to the prediction alone. For regression tasks, most approaches implement a variation of the ensemble method, apart from few exceptions. Instead of
Ability eliciting.After being pre-trained on large-scale corpora, LLMs are endowed with potential abilities as general-purpose task solvers. While, these abilities might not be explicitly exhibited when LLMs perform some specific tasks. As the technical approach, it is useful to designsuitable task...
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
One of the main drawbacks of RTs is related to the crisp bounds of the branch conditions: a small change in the values of the input variables may produce an important difference in the prediction. To overcome this problem, RTs have been extended with the use of fuzzy set theory, originating...
InfluxDB and Kafka to Scale to Over 1 Million Metrics a Second at Hulu Scaling Kafka to Support Data Growth at PayPal Stream Data Deduplication Exactly-once Semantics with Kafka Real-time Deduping at Tapjoy Deduplication at Segment Deduplication at Mail.Ru ...
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 ...
climate change. The resulting GOs were rescaled between 0.1 and 0.975,76, and then mapped with ArcGIS 10.2 to show the geographical distributions of population-level variation in genetic tolerance to future climate changes (Fig.2a). Prediction of habitat suitability...