- STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
2026/03/27 by Dominic Gribben, Carolina Allende, Alba Villarino +5 · 1 voice
Computer Science · Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #Data point #Gaussian Processes and Bayesian Inference #Gaussian process #Interpolation (computer graphics) #Kernel (algebra) #Kriging #Matrix (chemical analysis) #Matrix decomposition #Multilinear map #Stochastic Gradient Optimization Techniques #Tensor (intrinsic definition) #Tensor decomposition and applications #cs.CE #cs.LG #q-fin.PR #quant-ph
- Coresets for Classification -- Simplified and Strengthened
2021/06/08 by Tung Mai, Mai, Tung, Anup Rao +4 · 1 citation
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Class (philosophy) #Combinatorics #Computer science #Data mining #Data point #Discrete mathematics #Distribution (mathematics) #Function (biology) #Hinge loss #Machine Learning and Algorithms #Machine Learning and Data Classification #Mathematical analysis #Mathematics #Matrix (chemical analysis) #Measure (data warehouse) #Sampling (signal processing) #Space (punctuation) #Sparse and Compressive Sensing Techniques #Support vector machine #cs.DS #cs.LG
- Autoencoding Binary Classifiers for Supervised Anomaly Detection
2019/03/26 by Yuki Yamanaka, Tomoharu Iwata, Yamanaka, Yuki +7 · 1 citation
Computer Science · Engineering · Mathematics · #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial Immune Systems Applications #Artificial intelligence #Artificial neural network #Autoencoder #Binary classification #Binary number #Classifier (UML) #Computer science #Data point #Deep learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Network Security and Intrusion Detection #Pattern recognition (psychology) #Probabilistic logic #Supervised learning #Support vector machine #Unsupervised learning #cs.LG #stat.ML
- On Convergence of Epanechnikov Mean Shift
2017/11/20 by Kejun Huang, Xiao Fu, Huang, Kejun +3 · 1 citation
Computer Science · Mathematics · #Advanced Clustering Algorithms Research #Algorithm #Applied mathematics #Artificial intelligence #Bayesian Methods and Mixture Models #Centroid #Cluster analysis #Combinatorics #Computer science #Convergence (economics) #Data point #Estimator #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Gaussian #Iterated function #Kernel (algebra) #Kernel density estimation #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical analysis #Mathematics #Mean-shift #Optimization and Control (math.OC) #Pattern recognition (psychology) #Physics #Probability density function #Simple (philosophy) #Smoothness #Statistics #cs.LG #math.OC #stat.ML
- Nonparametric semi-supervised learning of class proportions
2016/01/08 by Shantanu Jain, Martha White, Jain, Shantanu +5 · 7 citations
Computer Science · Mathematics · #Artificial intelligence #Bayesian Methods and Mixture Models #Bayesian probability #Binary classification #Binary data #Binary number #Class (philosophy) #Computer science #Data point #Density estimation #Identifiability #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine learning #Mathematics #Mixing (physics) #Mixture model #Multivariate statistics #Nonparametric statistics #Pattern recognition (psychology) #Prior probability #Statistics #Support vector machine #Univariate #cs.LG #stat.ML
- A Topological View of Unsupervised Learning from Noisy Data
2011/01/01 by P. Niyogi, Partha Niyogi, S. Smale +3 · 29 citations
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Cluster analysis #Combinatorics #Computer science #Data point #Dimension (graph theory) #Dimensionality reduction #Discrete mathematics #Gaussian #Gaussian noise #Homotopy and Cohomology in Algebraic Topology #Mathematics #Mixture model #Noise (video) #Nonlinear dimensionality reduction #Pattern recognition (psychology) #Persistent homology #Probability distribution #Simplicial complex #Topological and Geometric Data Analysis #Unsupervised learning
- Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition
2007/01/01 by Singh, Gurjeet, Facundo Mémoli, Gunnar Carlsson · 2 citations
Computer Science · #Topological and Geometric Data Analysis #Image Retrieval and Classification Techniques #Data Management and Algorithms #Cluster analysis #Computer science #Simple (philosophy) #Topological data analysis #Data mining #Set (abstract data type) #Clustering high-dimensional data #Object (grammar) #Data set #Pattern recognition (psychology) #Data structure #Data point #Algorithm #Artificial intelligence