Cover Image

Linear Regression in p-adic metric spaces

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baker, Gregory D., McCallum, Scott, Pattinson, Dirk
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language Number Theory 11D88, 62J99, 68T50 G.3; I.2.6; I.2.7; I.5.1; I.5.4
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Logits-Constrained Framework with RoBERTa for Ancient Chinese NER
by: Hua, Wenjie, et al.
Published: (2025)

Beyond Subtokens: A Rich Character Embedding for Low-resource and Morphologically Complex Languages
by: Schneider, Felix, et al.
Published: (2026)

Can Agentic AI Match the Performance of Human Data Scientists?
by: Luo, An, et al.
Published: (2025)

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
by: Luo, An, et al.
Published: (2026)

It's 2025 -- Narrative Learning is the new baseline to beat for explainable machine learning
by: Baker, Gregory D.
Published: (2025)

Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
by: Hallak, Khaled, et al.
Published: (2025)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
by: Luo, An, et al.
Published: (2025)

Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
by: Du, Jin, et al.
Published: (2025)

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

Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy
by: Sutton, Matthew, et al.
Published: (2026)

Multilingual Multi-Label Emotion Classification at Scale with Synthetic Data
by: Borisov, Vadim
Published: (2026)

Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
by: Kinjo, Keita
Published: (2025)

Universal consistency of the $k$-NN rule in metric spaces and Nagata dimension. III
by: Pestov, Vladimir G.
Published: (2025)

Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Data
by: Wiechmann, D., et al.
Published: (2024)

Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025)

SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples
by: Wang, Yin, et al.
Published: (2025)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
by: Semenov, Andrei, et al.
Published: (2024)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)

Measuring Intent Comprehension in LLMs
by: Kunievsky, Nadav, et al.
Published: (2025)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025)

A Comparative Study of Feature Selection in Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2025)

Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study
by: Tikhonov, Alexey, et al.
Published: (2025)

SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network
by: Bouzid, Hamza, et al.
Published: (2023)

Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
by: Maity, Subhajit, et al.
Published: (2025)

Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
by: Du, Wenzhang
Published: (2025)

Named entity recognition for Serbian legal documents: Design, methodology and dataset development
by: Kalušev, Vladimir, et al.
Published: (2025)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
by: Kajare, Prajwal Vijay, et al.
Published: (2026)

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
by: Idahl, Maximilian, et al.
Published: (2026)

Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
by: López, Francisco, et al.
Published: (2025)

Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning
by: Di Santi, Eduardo, et al.
Published: (2025)

Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
by: González, Adolfo, et al.
Published: (2025)

Listwise Direct Preference Optimization with Multi-Dimensional Preference Mixing
by: Sun, Yuhui, et al.
Published: (2025)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
by: Gonzalez, Alberto Andres Valdes
Published: (2026)

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints
by: Reddy, Sandeep, et al.
Published: (2025)

Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
by: de Zuazo, Xabier, et al.
Published: (2025)

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

Salient Concept-Aware Generative Data Augmentation
by: Zhao, Tianchen, et al.
Published: (2025)

Prevailing Research Areas for Music AI in the Era of Foundation Models
by: Wei, Megan, et al.
Published: (2024)

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning
by: Ji, Binbin, et al.
Published: (2025)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)