- Kernel Change-point Detection with Auxiliary Deep Generative Models
2019/01/18 by Wei-Cheng Chang, Chun-Liang Li, Chang, Wei-Cheng +6 · 15 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Algorithm #Artificial intelligence #Benchmark (surveying) #Computer science #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative grammar #Generative model #Kernel (algebra) #Kernel embedding of distributions #Kernel method #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Mathematics #Metabolomics and Mass Spectrometry Studies #Multiple kernel learning #Parametric statistics #Radial basis function kernel #Selection (genetic algorithm) #Statistics #Support vector machine #Time Series Analysis and Forecasting #Tree kernel #Variable kernel density estimation #cs.LG #stat.ML
- Quadrature-based features for kernel approximation
2018/02/11 by Marina Munkhoeva, Yermek Kapushev, Munkhoeva, Marina +5 · 16 citations
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Artificial intelligence #Computer science #Convergence (economics) #Discrete mathematics #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Kernel (algebra) #Kernel embedding of distributions #Kernel method #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Model Reduction and Neural Networks #Monte Carlo method #Statistics #Support vector machine #Variable kernel density estimation #cs.LG #stat.ML
- Learning with Group Invariant Features: A Kernel Perspective
2015/06/08 by Youssef Mroueh, Stephen Voinea, Mroueh, Youssef +3 · 10 citations
Computer Science · Mathematics · #Artificial intelligence #Bayesian Methods and Mixture Models #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Discrete mathematics #FOS: Computer and information sciences #Face and Expression Recognition #Feature vector #Hilbert space #Invariant (physics) #Kernel (algebra) #Kernel embedding of distributions #Kernel method #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Neural Networks and Applications #Pattern recognition (psychology) #Polynomial kernel #Pure mathematics #Radial basis function kernel #Reproducing kernel Hilbert space #String kernel #Support vector machine #Variable kernel density estimation #cs.CV #cs.LG #stat.ML
- Kernel Methods for Estimating the Utilization Distribution in Home‐Range Studies
1989/02/01 by B. J. Worton, Bruce J. Worton · 4,181 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Environmental Science · Mathematics · Veterinary · #Animal Behavior and Welfare Studies #Computer science #Econometrics #Engineering #Genetic and phenotypic traits in livestock #Kernel (algebra) #Kernel embedding of distributions #Kernel method #Kernel smoother #Machine learning #Mathematics #Nonparametric statistics #Radial basis function kernel #Range (aeronautics) #Simple (philosophy) #Smoothing #Statistics #Variable kernel density estimation #Wildlife Ecology and Conservation