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- research-articleAugust 2021
Fast One-class Classification using Class Boundary-preserving Random Projections
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data MiningPages 66–74https://doi.org/10.1145/3447548.3467440Several applications, like malicious URL detection and web spam detection, require classification on very high-dimensional data. In such cases anomalous data is hard to find but normal data is easily available. As such it is increasingly common to use a ...
- research-articleAugust 2021
Gaussian Process with Graph Convolutional Kernel for Relational Learning
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data MiningPages 353–363https://doi.org/10.1145/3447548.3467327Gaussian Process (GP) offers a principled non-parametric framework for learning stochastic functions. The generalization capability of GPs depends heavily on the kernel function, which implicitly imposes the smoothness assumptions of the data. However, ...