DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·10h
📊Quantization
A Briefing on Logistic Regression
blog.engora.com·1h·
Discuss: Hacker News
🎯Arithmetic Coding Theory
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.org·1d
⧗Information Bottleneck
ML in the Home
blog.raymond.burkholder.net·1d
📈Time Series
Data Compression with Relative Entropy Coding
arxiv.org·2d
📐Compression Mathematics
Machine Learning Fundamentals: accuracy with python
dev.to·22h·
Discuss: DEV
👁️Observatory Systems
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·13h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Scalable Machine Learning Algorithms using Path Signatures
arxiv.org·1d
🗂️Vector Databases
ANOVA-boosting for Random Fourier Features
arxiv.org·10h
📐Vector Dimensionality
The Bitter Lesson is coming for Tokenization
lucalp.dev·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective
arxiv.org·1d
📊Quantization
Granular-Ball-Induced Multiple Kernel K-Means
arxiv.org·1d
🌀Differential Geometry
Online high-precision prediction method for injection molding product weight by integrating time series/non-time series mixed features and feature attention mec...
arxiv.org·10h
🌀Differential Geometry
Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals
arxiv.org·1d
🧠Memory Forensics
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
arxiv.org·10h
🤖Advanced OCR
Stochastic Gradient Descent for Nonparametric Regression
arxiv.org·1d
🧮Kolmogorov Complexity
Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging
arxiv.org·1d
📐Vector Dimensionality
Machine Learning Fundamentals: active learning
dev.to·21h·
Discuss: DEV
🤖Grammar Induction
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
arxiv.org·1d
🧠Neural Codecs