Found 4006 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

General Information Bottleneck Objectives and their Applications to Machine Learning

Aided by this insight, we formulate a new IBO that accounts for this property of the parameters of the trained model, and derive and optimize a variational bound on this IBO. Expand abstract.
46 days ago
7/10 relevant
arXiv

A Survey of Predictive Maintenance: Systems, Purposes and Approaches

Furthermore, we provide a review of the existing approaches for fault diagnosis and prognosis in PdM systems that include three major subcategories: knowledge based, traditional Machine Learning (ML) based and DL based approaches. Expand abstract.
46 days ago
4/10 relevant
arXiv

Survey of Public Assay Data: Opportunities and Challenges to Understanding Antimicrobial Resistance

As more data becomes available, automated training data curation will be an important part of creating useful machine learning models to predict antibiotic resistance. Expand abstract.
46 days ago
7/10 relevant
bioRxiv

Parting with Illusions about Deep Active Learning

Active learning aims to reduce the high labeling cost involved in training machine learning models on large datasets by efficiently labeling only the most informative samples. Expand abstract.
47 days ago
4/10 relevant
arXiv

Partitioning environment and space in species-by-site matrices: a comparison of methods for community ecology and macroecology

Our results suggest that tree-based machine learning is a robust and user-friendly approach that can be widely used for partitioning explained variation in species-by-site matrices. Expand abstract.
47 days ago
6/10 relevant
bioRxiv

Weighting the Key Features Affecting Supplier Selection using Machine Learning Techniques

This paper proposes an integrated approach combining machine learning classification with the Analytic Hierarchy Process (AHP) to select and evaluate the most suitable supplier. Expand abstract.
48 days ago
10/10 relevant
Preprints.org

Deep Latent Factor Model for Collaborative Filtering

In recent years, deep learning has been successful in solving a wide variety of machine learning problems. Expand abstract.
48 days ago
4/10 relevant
arXiv

libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications

It was designed for seamless integration with popular deep learning frameworks, including Caffe, PyTorch, and Keras, providing good performance by leveraging graphical processing units (GPUs) for computationally-intensive tasks and efficient memory usage through the use of memory views over preallocated buffers. libmolgrid is a free... Expand abstract.
48 days ago
7/10 relevant
arXiv

Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models

Recently, deep learning has outperformed traditional machine learning approaches on a range of image processing tasks including image classification and segmentation. Expand abstract.
48 days ago
5/10 relevant
arXiv

Taking Ethics, Fairness, and Bias Seriously in Machine Learning for Disaster Risk Management

Finally, we outline a research agenda for how our disaster risk management can begin to take these issues seriously and ensure that deployments of machine-learning tools are conducted in a responsible and beneficial manner. Expand abstract.
48 days ago
10/10 relevant
arXiv