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Locally-Linear Embedding (LLE)

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Tutorials: Towards AI – Machine Learning Fundamentals
Tutorial: KDnuggets – Retraining the Model
Tutorial: Siddhardhan – Machine Learning Models
Tutorial: Siddhardhan – Machine Learning Projects
Tutorial: Siddhardhan – Python Basics for Machine Learning

arxiv.org Computer Science – ML RSS Feed

A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics. (arXiv:2201.03549v1 [physics.chem-ph])
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic Hierarchy. (arXiv:2008.04548v2 [cs.AI] UPDATED)
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. (arXiv:2104.09949v2 [cs.DC] UPDATED)
quantum Case-Based Reasoning (qCBR). (arXiv:2104.00409v2 [cs.AI] UPDATED)
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. (arXiv:2103.16329v8 [cs.NI] UPDATED)

arxiv.org Statistics – ML RSS Feed

Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations. (arXiv:2201.03624v1 [cs.LG])
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction. (arXiv:2011.03996v3 [econ.EM] UPDATED)
HuSpaCy: an industrial-strength Hungarian natural language processing toolkit. (arXiv:2201.01956v2 [cs.CL] UPDATED)
Tracking Most Severe Arm Changes in Bandits. (arXiv:2112.13838v3 [cs.LG] UPDATED)
A general class of surrogate functions for stable and efficient reinforcement learning. (arXiv:2108.05828v2 [cs.LG] UPDATED)

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