IEEE

AI-Driven Classification of Tsunami-Generating Earthquakes: Harnessing Random Forest, SVM, and Logistic Regression for Early Detection

Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
Scientific Research Publishing

Strobl, C., Malley, J. and Tutz, G. (2009) An Introduction to Recursive Partitioning: Rationale, Application, and Characteristics of Classification and Regression Trees ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
Hosted on MSN

COD Ghosts - Random class challenge (Call of Duty: Ghosts)

Description: Random Class Generator Subscribe Twitter Instagram Shirts/Hats Xbox SekC Picture Pack President Trump has a warning for Iran ‘Proceed with caution’: Elon Musk offers warning after Amazon ...
Pittsburgh Post-Gazette

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Subscribe Login Register Log out My Profile Subscriber Services Search PGe NEWSLETTERS PG STORE ARCHIVES PUBLIC NOTICES OBITUARIES JOBS CLASSIFIEDS EVENTS PETS ...
IEEE

Optimizing Code Feature Extraction and Classification using Random Forest Models on Abstract Syntax Trees

Abstract: The machine learning methods applied to code classification tasks that use Abstract Syntax Tree (AST) features has been explored in this study. The dataset includes parsed AST ...