Copertina

A Declarative Query Language for Scientific Machine Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Jamil, Hasan M
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Databases
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach
di: Pathak, Prashant Kumar
Pubblicazione: (2026)

Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
di: Wei, Lindsey Linxi, et al.
Pubblicazione: (2024)

InferF: Declarative Factorization of AI/ML Inferences over Joins
di: Chowdhury, Kanchan, et al.
Pubblicazione: (2025)

Low Rank Learning for Offline Query Optimization
di: Yi, Zixuan, et al.
Pubblicazione: (2025)

Incorporating Deep Learning Design in Database Queries
di: Lubarsky, Yuval Lev, et al.
Pubblicazione: (2026)

RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems
di: Lee, Seokwon, et al.
Pubblicazione: (2026)

Hydro: Adaptive Query Processing of ML Queries
di: Kakkar, Gaurav Tarlok, et al.
Pubblicazione: (2024)

Humans, Machine Learning, and Language Models in Union: A Cognitive Study on Table Unionability
di: Marimuthu, Sreeram, et al.
Pubblicazione: (2025)

LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
di: Quader, Shaikh, et al.
Pubblicazione: (2024)

Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
di: Bărbulescu, George-Octavian, et al.
Pubblicazione: (2024)

Private Queries with Sigma-Counting
di: Gao, Jun, et al.
Pubblicazione: (2025)

ACE: A Cardinality Estimator for Set-Valued Queries
di: Sheng, Yufan, et al.
Pubblicazione: (2025)

Bullion: A Column Store for Machine Learning
di: Liao, Gang, et al.
Pubblicazione: (2024)

The Unreasonable Effectiveness of LLMs for Query Optimization
di: Akioyamen, Peter, et al.
Pubblicazione: (2024)

Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases
di: Kocijan, Vid, et al.
Pubblicazione: (2026)

SemBench: A Benchmark for Semantic Query Processing Engines
di: Lao, Jiale, et al.
Pubblicazione: (2025)

Predictive Query-based Pipeline for Graph Data
di: Neto, Plácido A Souza
Pubblicazione: (2024)

Sibyl: Forecasting Time-Evolving Query Workloads
di: Huang, Hanxian, et al.
Pubblicazione: (2024)

Adversarial Query Synthesis via Bayesian Optimization
di: Tao, Jeffrey, et al.
Pubblicazione: (2026)

Data Cleaning and Machine Learning: A Systematic Literature Review
di: Côté, Pierre-Olivier, et al.
Pubblicazione: (2023)

Optimizing LLM Queries in Relational Data Analytics Workloads
di: Liu, Shu, et al.
Pubblicazione: (2024)

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
di: Kim, Jang-Hyun, et al.
Pubblicazione: (2025)

Query Performance Explanation through Large Language Model for HTAP Systems
di: Xiu, Haibo, et al.
Pubblicazione: (2024)

Training-Free Query Optimization via LLM-Based Plan Similarity
di: Vasilenko, Nikita, et al.
Pubblicazione: (2025)

Compass: SLO-aware Query Planner for Compound AI Serving at Scale
di: Liu, Banruo, et al.
Pubblicazione: (2025)

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
di: Ouyang, Biao, et al.
Pubblicazione: (2025)

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree
di: Al-Mamun, Abdullah, et al.
Pubblicazione: (2025)

Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization
di: Chang, Baoming, et al.
Pubblicazione: (2025)

OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
di: Yue, Songhui, et al.
Pubblicazione: (2025)

MaskSearch: Querying Image Masks at Scale
di: He, Dong, et al.
Pubblicazione: (2023)

Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
di: Wu, Ziniu, et al.
Pubblicazione: (2025)

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
di: Afandi, Waleed, et al.
Pubblicazione: (2026)

ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability
di: Guo, Yanming, et al.
Pubblicazione: (2024)

SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines
di: Ovcharenko, Olga, et al.
Pubblicazione: (2026)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
di: Shaowang, Ted, et al.
Pubblicazione: (2025)

From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
di: Wu, Biao, et al.
Pubblicazione: (2023)

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
di: Fallahian, Mohammadali, et al.
Pubblicazione: (2022)

UQE: A Query Engine for Unstructured Databases
di: Dai, Hanjun, et al.
Pubblicazione: (2024)

Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation
di: Brunink, Yannick, et al.
Pubblicazione: (2025)

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data
di: Papadias, Serafeim, et al.
Pubblicazione: (2026)