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BDCC | Free Full-Text | A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence
UCI Donald Bren School of Information & Computer Science - Year in review 2019 by uci6062 - Issuu
Electronics | Free Full-Text | Approximate CPU Design for IoT End-Devices with Learning Capabilities
BDCC | Free Full-Text | A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence
Frontiers | Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems
Another (Conformal) Way to Predict Probability Distributions | by Harrison Hoffman | Mar, 2023 | Towards Data Science
Benchmarking R, Revolution R, and HyperThreading for data mining | Heuristic Andrew
UCI Machine Learning Repository: Data Sets
Usage Statistics for archive.ics.uci.edu - February 2019
A low cost neuromorphic learning engine based on a high performance supervised SNN learning algorithm | Scientific Reports
Optimal training of integer-valued neural networks with mixed integer programming | PLOS ONE
tensorflow - Keras Gpu: Configuration - Stack Overflow
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS AND STATISTICAL LEARNING
Semi-supervised Feature Selection With Soft Label Learning
A novel hybrid optimization enabled robust CNN algorithm for an IoT network intrusion detection approach | PLOS ONE
Big Data Heterogeneous Mixture Learning on Spark
Frontiers | Voltage slope guided learning in spiking neural networks
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Hybrid architecture based on two-dimensional memristor crossbar array and CMOS integrated circuit for edge computing | npj 2D Materials and Applications
Remote Sensing | Free Full-Text | Performance of Fingerprinting-Based Indoor Positioning with Measured and Simulated RSSI Reference Maps
Benchmarking_ML_Tools
RPubs - Logistic Regression
Comparing methods for statistical inference with model uncertainty | PNAS
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS AND STATISTICAL LEARNING
Using Kaggle for Faster Experimentation | Data Science with Python
Python Ray -The Fast Lane to Distributed Computing
Results on UCI's Facebook's comment volume prediction dataset,... | Download Scientific Diagram
RPubs
UCI Machine Learning Repository: Computer Hardware Data Set
