Unlock Peak Model Performance: MINERVA's Surprisingly Simple Feature Selection by Arvind Sundararajan
dev.to·1h·
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🧠Machine Learning
Learning a distance measure from the information-estimation geometry of data
arxiv.org·7h
📐Information Geometry
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·3h·
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🧠Learned Indexing
ELMF4EggQ: Ensemble Learning with Multimodal Feature Fusion for Non-Destructive Egg Quality Assessment
arxiv.org·7h
🧠Machine Learning
Generative AI finds antimicrobial peptides against multidrug-resistant bacteria
nature.com·1d·
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⚙️ABNF Mining
Multimodal Function Vectors for Spatial Relations
arxiv.org·7h
🧮Vector Embeddings
Unlocking the Brain's Code: Personalized Insights with AI-Powered Connectivity Mapping
future.forem.com·13h·
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🧠Machine Learning
Automated Artifact Detection & Classification in Microscopy Image Datasets
dev.to·1d·
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📄Document Digitization
The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation
arxiv.org·7h
🧠Machine Learning
A Global Mining Dataset
tech.marksblogg.com·28m·
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📦METS Containers
Geometry Meets Vision: Revisiting Pretrained Semantics in Distilled Fields
arxiv.org·7h
🌀Differential Geometry
LLM-Based Instance-Driven Heuristic Bias in the Context of a BRKGA
researchgate.net·1d·
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🧮Kolmogorov Complexity
Hyperdimensional Biomarker Discovery via Probabilistic Causal Graph Optimization
dev.to·23h·
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🧠Machine Learning
We Used 3 Feature Selection Techniques: This One Worked Best
kdnuggets.com·3d
🧠Machine Learning
Scalable Multi-Modal Knowledge Integration for Robust Anomaly Detection in Industrial Control Systems
dev.to·13h·
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🔍Vector Forensics
An alternative to knowledge graphs for storing loosely structured content
fleetingswallow.com·20h·
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🕸️Knowledge Graphs
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
arxiv.org·7h
🗂️Vector Search