Cover Image

RCProb: Probabilistic Rule Extraction for Efficient Simplification of Tree Ensembles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Obregon, Josue
Format:	Preprint
Published:	2026
Subjects:	Machine Learning 68T05, 62H30, 68T37 I.2.6; I.2.1; H.4.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
by: Luzio, Emanuele, et al.
Published: (2025)

Community-Based Model Sharing and Generalisation: Anomaly Detection in IoT Temperature Sensor Networks
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)

Attention Please: What Transformer Models Really Learn for Process Prediction
by: Käppel, Martin, et al.
Published: (2024)

Explainable Artificial Intelligence Credit Risk Assessment using Machine Learning
by: Shreya, et al.
Published: (2025)

Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026)

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
by: Ožbot, Miha, et al.
Published: (2025)

GeoJEPA: Towards Eliminating Augmentation- and Sampling Bias in Multimodal Geospatial Learning
by: Lundqvist, Theodor, et al.
Published: (2025)

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
by: Abedinia, Aydin, et al.
Published: (2025)

Measuring Similarity in Causal Graphs: A Framework for Semantic and Structural Analysis
by: Liu, Ning-Yuan Georgia, et al.
Published: (2025)

ML-driven detection and reduction of ballast information in multi-modal datasets
by: Solovko, Yaroslav
Published: (2026)

OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness
by: Barnard, Amanda S
Published: (2026)

Uniqueness ratio as a predictor of a privacy leakage
by: AlKhashti, Danah A. AlSalem
Published: (2025)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

See What I Mean? CUE: A Cognitive Model of Understanding Explanations
by: Labarta, Tobias, et al.
Published: (2025)

Hallucinations Live in Variance
by: Flouro, Aaron R., et al.
Published: (2026)

Deep Global Clustering for Hyperspectral Image Segmentation: Concepts, Applications, and Open Challenges
by: Chang, Yu-Tang, et al.
Published: (2025)

Imbalanced malware classification: an approach based on dynamic classifier selection
by: Souza, J. V. S., et al.
Published: (2025)

Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
by: Nwokocha, Caleb Princewill
Published: (2022)

MEDLEY-BENCH: Scale Buys Evaluation but Not Control in AI Metacognition
by: Abtahi, Farhad, et al.
Published: (2026)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems
by: MacKinlay, Dan, et al.
Published: (2024)

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
by: Gaikwad, Nishant S., et al.
Published: (2024)

Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026)

Machine learning technique for morphological classification of galaxies from SDSS. IV. Visual inspection vs CNN for merging, irregular, edge-on, barred, ringed, and with dust lanes galaxies at 0.02<z<0.1
by: V., Dobrycheva D., et al.
Published: (2026)

Semantic Variational Bayes Based on Semantic Information G Theory for Solving Latent Variables
by: Lu, Chenguang
Published: (2024)

LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation
by: Zhang, Haichao, et al.
Published: (2025)

Time Aggregation Features for XGBoost Models
by: Pinchuk, Mykola
Published: (2026)

Causal Direction from Convergence Time: Faster Training in the True Causal Direction
by: Tamim, Abdulrahman
Published: (2026)

Predicting Music Track Popularity by Convolutional Neural Networks on Spotify Features and Spectrogram of Audio Waveform
by: Falah, Navid, et al.
Published: (2025)

Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)

MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
by: de Zuazo, Xabier, et al.
Published: (2026)

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
by: Napoli, Rosario, et al.
Published: (2025)

Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
by: Nguyen, Dang Viet Anh, et al.
Published: (2024)

Dense Video Understanding with Gated Residual Tokenization
by: Zhang, Haichao, et al.
Published: (2025)

A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content
by: Cao, Lele
Published: (2025)

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
by: Goudarzi, Hojjat Torabi, et al.
Published: (2025)

Lightweight Defense Against Adversarial Attacks in Time Series Classification
by: Han, Yi
Published: (2025)

DUCTILE: Agentic LLM Orchestration of Engineering Analysis in Product Development Practice
by: Pradas-Gomez, Alejandro, et al.
Published: (2026)