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Chapter list
Quantification and the language of thought00:00
Fast Image Deconvolution using Hyper Laplacian Priors00:45
Efficient Large-Scale Distributed Training of Conditional Maxent02:02
A Data Driven-Approach to Modeling Choice03:17
Laplacian SSL: The Limit of Infinite Unlabeled Data04:45
Region-based Segmentation and Object Detection05:34
Anomaly Detection via K-NNG06:44
Adaptive Regularization of Weight Vectors08:24
Adaptive Regularization for Transductive Support Vector Machine09:34
Variational Gaussian-process factor analysis for modeling spatio-temporal data10:42
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory12:09
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming13:37
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data15:14