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Found 7 papers, 2 papers with code
Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids
We illustrate the utility of this approach with data derived from the phenotypes of three neurogenetic diseases and demonstrate how the addition of class and feature centroids increases the interpretability of scatter plots.
Incremental cluster validity index-guided online learning for performance and robustness to presentation order
The model achieves improved accuracy and robustness to ordering effects by integrating an online iCVI framework as module B of a topological adaptive resonance theory predictive mapping (TopoARTMAP) -- thereby being named iCVI-TopoARTMAP -- and by employing iCVI-driven post-processing heuristics at the end of each learning step.
iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices
This paper presents an adaptive resonance theory predictive mapping (ARTMAP) model which uses incremental cluster validity indices (iCVIs) to perform unsupervised learning, namely iCVI-ARTMAP.
StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search
The real-time strategy game of StarCraft II has been posed as a challenge for reinforcement learning by Google's DeepMind.
Survey of Privacy-Preserving Collaborative Filtering
Collaborative filtering recommendation systems provide recommendations to users based on their own past preferences, as well as those of other users who share similar interests.
A Survey of Adaptive Resonance Theory Neural Network Models for Engineering Applications
This survey samples from the ever-growing family of adaptive resonance theory (ART) neural network models used to perform the three primary machine learning modalities, namely, unsupervised, supervised and reinforcement learning.
Incremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study
Validation is one of the most important aspects of clustering, but most approaches have been batch methods.
