Repository Index

Visual analysis and diagnostic tools to facilitate machine learning model selection.

• machine-learning
• visual-analysis
• model-selection
• visualization

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

• time-series-analysis
• model-selection
• bayesian-inference
• anomaly-detection

Query a SPARQL endpoint with a SELECT query and get the data ready to be used with d3js

• d3js
• sparql
• json
• rdf

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

Exercises for the lecture "Selected Topics in Audio Signal Processing"